{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":4,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":4,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"06c1c02ac8b9","filters":{"venue":"Proceedings of SPIE - The International Society for Optical Engineering"}},"results":[{"id":"W3100107231","doi":"","title":"Interference pattern generation of multi-wavelength yellow-orange lasers using x(2) nonlinear photonic crystals","year":2020,"lang":"en","type":"article","venue":"Proceedings of SPIE - The International Society for Optical Engineering","topic":"Photonic Crystals and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Optics; Interference (communication); Wavelength; Laser; Optoelectronics; Nonlinear optics; Photonics; Photonic crystal; Materials science; Nonlinear system; Physics; Telecommunications; Computer science","authors":[{"name":"Bai Wei Wu","is_ca":false},{"name":"Kai Hsun Chang","is_ca":false},{"name":"Sofia Mohand Ousaid","is_ca":false},{"name":"Azzedine Boudrioua","is_ca":false},{"name":"H. Yokoyama","is_ca":true},{"name":"Olivier Lai","is_ca":false},{"name":"L.‐H. Peng","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03959382380338803,"gpt":0.2612415862238266,"spread":0.2216477624204386,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001093696,0.0001218492,0.0001624499,0.00001370036,0.00004555664,0.00003693091,0.0002835406,0.00003452273,0.00003291069],"category_scores_gemma":[0.00002550939,0.0001051648,0.0002682555,0.00009730235,0.00004878141,0.0001273811,0.00008911468,0.0001239371,7.225047e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003531852,"about_ca_system_score_gemma":0.00002710872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002570121,"about_ca_topic_score_gemma":2.247777e-7,"domain_scores_codex":[0.9992214,1.263129e-7,0.0002998768,0.0001757783,0.0001597179,0.0001430681],"domain_scores_gemma":[0.9994865,0.00004392046,0.000140631,0.0000473161,0.0002247967,0.00005680393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006141892,0.00007226666,0.0002042711,0.00007395975,0.0001906324,2.089698e-8,0.0004340739,0.003133174,0.9886295,0.006144722,0.0001234602,0.0009877988],"study_design_scores_gemma":[0.0003187253,0.00002612487,0.00002669212,0.00003745939,0.00003590781,3.079848e-7,0.0003719131,0.8078732,0.1905539,0.00003921497,0.0006256414,0.00009092274],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9424977,0.00001568874,0.05636673,0.0005135511,0.00005371992,0.0002741604,0.000139602,0.00001764448,0.0001212086],"genre_scores_gemma":[0.9683646,0.000006527779,0.03119943,0.00005264948,0.0002691012,0.00004845383,0.00002682623,0.00001860552,0.00001382971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.80474,"threshold_uncertainty_score":0.4288496,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3178964691","doi":"","title":"Controlling ill-behaved flows with active queue management in DiffServ networks","year":2003,"lang":"en","type":"article","venue":"Proceedings of SPIE - The International Society for Optical Engineering","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Active queue management; Queue; Computer science; Computer network; Queueing theory; Queue management system; Fluid queue; Distributed computing; Network congestion; Real-time computing; Network packet","authors":[{"name":"Y. Shu","is_ca":false},{"name":"Deyun Gao","is_ca":false},{"name":"Ou Yang","is_ca":true},{"name":"Liqiang Qi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007481467171229781,"gpt":0.2038556399109532,"spread":0.1963741727397234,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003173903,0.0001523082,0.0001730273,0.00003880596,0.000055891,0.0001076328,0.0005864498,0.00006503179,0.000002075771],"category_scores_gemma":[0.00006870765,0.0001125507,0.0001689016,0.0002486595,0.00002751039,0.0002879687,0.0001067992,0.0001956162,4.217169e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001159084,"about_ca_system_score_gemma":0.00001127618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000450276,"about_ca_topic_score_gemma":7.796951e-7,"domain_scores_codex":[0.9989347,2.298563e-7,0.000239792,0.0002570715,0.0002837518,0.0002844738],"domain_scores_gemma":[0.9994132,0.000171037,0.00007852309,0.000076937,0.0002090592,0.00005125926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005153679,0.00008241011,0.0003269332,0.00004240604,0.0003227501,0.000001242826,0.0002617154,0.2156037,0.0007796225,0.7787652,0.0001439924,0.003618464],"study_design_scores_gemma":[0.001033135,0.00005679239,0.0008445845,0.000105685,0.00002402013,0.000005927677,0.0001382346,0.9945292,0.0007997119,0.00121762,0.001078362,0.0001667088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4878524,0.0001153605,0.5092031,0.0009018151,0.000299793,0.0005025436,0.000001730723,0.00009969857,0.001023486],"genre_scores_gemma":[0.7495058,0.00006174084,0.2498959,0.0001927198,0.0001021365,0.0001697495,0.000001799137,0.00001979147,0.00005040532],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7789255,"threshold_uncertainty_score":0.4589683,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3140325280","doi":"","title":"Two-dimensional distribution of leakage current in ultrathin oxide on stepped Si surface","year":2000,"lang":"en","type":"article","venue":"Proceedings of SPIE - The International Society for Optical Engineering","topic":"Semiconductor materials and devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Materials science; Leakage (economics)","authors":[{"name":"Munenori Murata","is_ca":false},{"name":"Norio Tokuda","is_ca":false},{"name":"Daisuke Hojo","is_ca":true},{"name":"Kikuo Yamabe","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01120336027893576,"gpt":0.2325220771715011,"spread":0.2213187168925654,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002438484,0.000138387,0.0001803695,0.00001811837,0.00001836452,0.00002769069,0.0002163655,0.00005466366,0.00002764789],"category_scores_gemma":[0.00005653582,0.0001153239,0.0001617699,0.0000987981,0.00003357935,0.0001502635,0.00002087842,0.0001480964,0.000002571495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009931107,"about_ca_system_score_gemma":0.000008449185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001153187,"about_ca_topic_score_gemma":3.225146e-7,"domain_scores_codex":[0.9990919,1.555651e-7,0.000340157,0.000133042,0.000259194,0.0001756097],"domain_scores_gemma":[0.9996655,0.0001139195,0.00004350152,0.00004277901,0.0000985795,0.00003572169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003701502,0.00004846932,0.00009353122,0.0001602125,0.00006236367,8.005532e-8,0.00008884039,0.242255,0.7406259,0.01614822,0.0002313641,0.0002489372],"study_design_scores_gemma":[0.001061332,0.00006752816,0.002455782,0.0004153518,0.00003072269,0.00000416294,0.0001083625,0.4519168,0.5419244,0.0004241535,0.00131528,0.0002761262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988915,0.0001578697,0.00003496045,0.0001042944,0.0002556703,0.0001819138,0.000068401,0.00005877073,0.0002466655],"genre_scores_gemma":[0.9973463,0.00005029553,0.002413055,0.00001374591,0.00009320129,0.00001820667,0.00002791365,0.00002011111,0.00001711051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2096618,"threshold_uncertainty_score":0.4702771,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3182789081","doi":"","title":"Discovering spatial associations in images","year":2000,"lang":"en","type":"article","venue":"Proceedings of SPIE - The International Society for Optical Engineering","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Focus (optics); Association rule learning; Abstraction; Feature (linguistics); Data mining; Process (computing); Scalability; Association (psychology); Information retrieval; Spatial analysis; Artificial intelligence; Geography; Database","authors":[{"name":"Osmar R. Zai͏̈ane","is_ca":true},{"name":"Jiawei Han","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008726694441781684,"gpt":0.2316534538098709,"spread":0.2229267593680892,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002323899,0.00007955828,0.00009306974,0.00002391944,0.00005586382,0.0001467138,0.0007320272,0.0000347384,0.000007517432],"category_scores_gemma":[0.00008965753,0.00006792273,0.0001333946,0.0001698256,0.00002521296,0.0004442244,0.0001094764,0.0001100086,0.000002887999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007784157,"about_ca_system_score_gemma":0.00001491605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004551523,"about_ca_topic_score_gemma":8.571149e-7,"domain_scores_codex":[0.9992537,5.753674e-8,0.000207342,0.0001720869,0.0002072504,0.0001595508],"domain_scores_gemma":[0.9996732,0.0001011311,0.00004650171,0.00006421996,0.00008556813,0.00002939304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009060573,0.0002435017,0.001063942,0.00005990047,0.000223089,3.392945e-7,0.001176074,0.009177808,0.06014433,0.817746,0.003073469,0.1070825],"study_design_scores_gemma":[0.0003017662,0.00002406149,0.009514672,0.0000445497,0.000009404146,0.000002727703,0.00006004423,0.9776643,0.006144439,0.001606209,0.004486774,0.0001410864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8984463,0.00003236006,0.09368519,0.005031051,0.0001476499,0.000248307,0.00006406537,0.00009565451,0.002249466],"genre_scores_gemma":[0.4717483,0.00005291562,0.527269,0.0001109146,0.0002573548,0.0001778547,0.0000170517,0.00001682657,0.0003497784],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9684865,"threshold_uncertainty_score":0.2769808,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}