{"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"},"query_hash":"8ca2b9a07b2c","filters":{"venue":"BIOCOMP"}},"results":[{"id":"W17603131","doi":"10.1123/jab.23.2.119","title":"Long spaced seeds for finding similarities between biological sequences.","year":2007,"lang":"en","type":"article","venue":"BIOCOMP","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Sensitivity (control systems); Homology (biology); Measure (data warehouse); Mathematics; Algorithm; Fraction (chemistry); Computer science; Biology; Data mining; Genetics; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.07917843696535799,"gpt":0.3195760883791828,"spread":0.2403976514138249,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005767397,0.0001340033,0.0001838818,0.00009569863,0.0002312031,0.0001369106,0.0007410677,0.0001156756,0.000009906887],"category_scores_gemma":[0.0000339257,0.0001027264,0.00007217424,0.0002083274,0.00006882157,0.000292148,0.0003415341,0.00009892401,0.00001608438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003465638,"about_ca_system_score_gemma":0.00002944771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002606151,"about_ca_topic_score_gemma":0.00000465733,"domain_scores_codex":[0.9988577,0.00002318469,0.0002115244,0.0003496317,0.0001662818,0.0003916397],"domain_scores_gemma":[0.9991377,0.0003017671,0.00007494559,0.0003260147,0.00004945074,0.0001101097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00007787458,0.0002572478,0.2775196,0.0001625709,0.0001428693,0.0001625106,0.001544228,0.0000752312,0.01628596,0.1109009,0.01755378,0.5753173],"study_design_scores_gemma":[0.002250246,0.0009239923,0.7047239,0.0002551006,0.000028101,0.0000512883,0.0003018246,0.02652706,0.07494798,0.01966398,0.1686016,0.001724936],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07064436,0.0001759093,0.9276822,0.0003603594,0.0003138555,0.00023051,0.00002795204,0.0001783544,0.0003864919],"genre_scores_gemma":[0.8191267,0.000009467739,0.1800397,0.0001921311,0.0004331554,0.00001084209,0.00004484503,0.000006903826,0.0001362918],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7484823,"threshold_uncertainty_score":0.4189061,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W68420151","doi":"","title":"Introducing Hippy: A Visualization Tool for Understanding the alpha-Helix Pair Interface.","year":2006,"lang":"en","type":"article","venue":"BIOCOMP","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Visualization; OpenGL; Computer science; Software; Computer graphics (images); Interface (matter); Alpha helix; Helix (gastropod); Human–computer interaction; Crystallography; Programming language; Artificial intelligence; Operating system; Chemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.01200994019965456,"gpt":0.2641397446611903,"spread":0.2521298044615358,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001591446,0.0001103851,0.00008427218,0.00002316134,0.0001446169,0.00004586553,0.000134222,0.00008882854,0.00000604023],"category_scores_gemma":[0.00003767534,0.00008183709,0.00006595124,0.00006377981,0.00004800887,0.000003322407,0.00006202403,0.00003864125,0.000002251691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003568853,"about_ca_system_score_gemma":0.00002657342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001716926,"about_ca_topic_score_gemma":0.00002552877,"domain_scores_codex":[0.9993424,0.00003016718,0.0001513397,0.0002340936,0.0000683311,0.00017371],"domain_scores_gemma":[0.9996344,0.00001589565,0.00006467737,0.0002298599,0.00003933644,0.00001578785],"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":[0.0001640278,0.00004412021,0.002255386,0.00005979878,0.00006533324,6.539352e-7,0.00008648694,0.00141857,0.9380332,0.03582659,0.01895981,0.00308608],"study_design_scores_gemma":[0.002157127,0.000577986,0.002990827,0.00006191197,0.00008742057,0.00003411928,0.0004706239,0.01510098,0.7432431,0.04242673,0.1920044,0.0008447117],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1778909,0.0004857994,0.8203197,0.0004064553,0.0002045444,0.0004168793,0.00001838263,0.0000234108,0.0002339784],"genre_scores_gemma":[0.9964677,0.000008301749,0.002104563,0.0002133649,0.0006445387,0.00003863869,0.0001601759,0.00001912389,0.0003435778],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8185768,"threshold_uncertainty_score":0.333722,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}