{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":2,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":2,"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":"48cd54b8bd61","filters":{"venue":"Proceedings of the ION 2013 Pacific PNT Meeting"}},"results":[{"id":"W2579321071","doi":"","title":"Observations of Global and Regional Ionospheric Irregularities and Scintillation Using GNSS Tracking Networks","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ION 2013 Pacific PNT Meeting","topic":"GNSS positioning and interference","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"GNSS applications; Scintillation; Interplanetary scintillation; Geodesy; Global Positioning System; Ionosphere; Amplitude; Satellite; Remote sensing; Physics; Geology; Geography; Environmental science; Computer science; Geophysics; Optics; Detector; Telecommunications; Solar wind; Astronomy","authors":[{"name":"Xiaoqing Pi","is_ca":false},{"name":"A. J. Mannucci","is_ca":false},{"name":"B. Valant-Spaight","is_ca":false},{"name":"Y. Bar-Sever","is_ca":false},{"name":"L.J. Romans","is_ca":false},{"name":"S. Skone","is_ca":true},{"name":"Lawrence Sparks","is_ca":false},{"name":"Gentzon Hall","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02040887464890096,"gpt":0.2004802161713393,"spread":0.1800713415224384,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003139626,0.0002684135,0.0001430656,0.001306099,0.0001896113,0.0004189322,0.0001517573,0.0001572916,0.0004750433],"category_scores_gemma":[0.001103306,0.0000926207,0.0001262931,0.002728185,0.0001299834,0.0003997363,0.0003914541,0.0002124392,0.0001714137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004306457,"about_ca_system_score_gemma":0.000339979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02107851,"about_ca_topic_score_gemma":0.04741098,"domain_scores_codex":[0.9997339,0.00003590398,0.0000180815,0.00004755689,0.0001362987,0.00002824852],"domain_scores_gemma":[0.999571,0.000064327,0.0001559885,0.00005345492,0.0001271401,0.00002808173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002526511,0.00005858678,0.7526928,0.0001206478,0.0001862513,0.0003060095,0.0003808065,0.08222461,0.0464674,0.000757357,0.002964138,0.1135887],"study_design_scores_gemma":[0.00002049406,0.0001097652,0.9102588,0.00002931464,0.00006332536,0.0002375604,0.0002447818,0.0759792,0.007522705,0.0003881798,0.005111706,0.0000341362],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732311,0.0001877905,0.01346188,0.00009384129,0.00001479977,0.0000450839,0.005049742,0.0003501075,0.007565549],"genre_scores_gemma":[0.9870663,0.0002267719,0.007321757,0.00001988819,0.00001940185,0.00001817993,0.004635768,0.00002585995,0.0006660095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02107851,"threshold_uncertainty_score":0.0419116,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2187725406","doi":"","title":"Computer Vision Navigation based on Fiducial Markers of Opportunity","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ION 2013 Pacific PNT Meeting","topic":"Robotics and Sensor-Based Localization","field":"Engineering","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 Calgary","funders":"","keywords":"Fiducial marker; Computer vision; Computer science; Rectangle; Artificial intelligence; Context (archaeology); Image processing; Simple (philosophy); Computer graphics (images); Image (mathematics); Mathematics","authors":[{"name":"Lakhani","is_ca":true},{"name":"John Nielsen","is_ca":true},{"name":"G. Lachapelle","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008597723512759371,"gpt":0.1965925327131836,"spread":0.1879948092004242,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003384465,0.0005023187,0.0004516597,0.0007948747,0.0002764456,0.0008301535,0.0005952814,0.0005485422,0.0009146193],"category_scores_gemma":[0.002337641,0.0002170484,0.000234983,0.0009523773,0.0008150684,0.0009287515,0.0008961726,0.0006700299,0.0004585961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004877019,"about_ca_system_score_gemma":0.0006932377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0038515,"about_ca_topic_score_gemma":0.003983412,"domain_scores_codex":[0.9994761,0.0001111308,0.00001603417,0.0001302251,0.000213041,0.00005347075],"domain_scores_gemma":[0.9994894,0.0001770628,0.00008580843,0.00007675477,0.0001496718,0.00002130517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003144831,0.00004411218,0.001844462,0.0001701303,0.00004235573,0.000145137,0.0003161189,0.1285097,0.08140411,0.07222727,0.003529744,0.7114525],"study_design_scores_gemma":[0.00003801997,0.0002682126,0.004543656,0.0001077396,0.0000370344,0.0005965376,0.0001358093,0.882155,0.05426143,0.03619448,0.02156615,0.00009592847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01467039,0.0004767351,0.9814812,0.00006227937,0.0000391991,0.00001524092,0.00002168793,0.0003662034,0.002867083],"genre_scores_gemma":[0.5541471,0.0007806389,0.4416204,0.00007389391,0.0000350564,0.0000665284,0.0001473662,0.00007181097,0.00305729],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0038515,"threshold_uncertainty_score":0.007658184,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}