{"id":"W968721643","doi":"10.1016/j.cbi.2011.03.002","title":"Introduction","year":2011,"lang":"en","type":"article","venue":"Chemico-Biological Interactions","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Queen's University","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001319101,0.0001832869,0.000180509,0.00009167261,0.0001246449,0.0000208059,0.0002312032,0.0001179754,0.02601721],"category_scores_gemma":[0.0004298012,0.0001430735,0.0001373196,0.0002813136,0.0002027678,0.0002829986,0.00009205137,0.0004259529,0.01949837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001525439,"about_ca_system_score_gemma":0.00001056407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003055752,"about_ca_topic_score_gemma":0.000006611208,"domain_scores_codex":[0.9988154,0.00005153945,0.0002902126,0.0004467973,0.00008005385,0.0003160474],"domain_scores_gemma":[0.9991886,0.00007327461,0.0001178837,0.0003721259,0.0001238578,0.0001242376],"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":[0.000108863,0.0003936764,0.001615432,0.000002016479,0.00004359422,0.000004449576,0.0002550572,7.927143e-7,0.8827032,0.003957965,0.1099683,0.0009466992],"study_design_scores_gemma":[0.0002178555,0.0001049463,0.007414566,0.000007840414,0.0000274401,0.0002062451,0.0004057479,0.00004457884,0.5745297,0.003485001,0.4132423,0.000313812],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8351248,0.00003538365,0.000380146,0.0004841905,0.001302616,0.0001674797,0.00003116779,0.0008185455,0.1616557],"genre_scores_gemma":[0.9940347,0.0000109858,0.0017847,0.0001597797,0.001218698,0.00007894243,0.0001066544,0.00002808294,0.002577458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3081735,"threshold_uncertainty_score":0.9812651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1357673328446617,"score_gpt":0.3092072370480628,"score_spread":0.1734399042034011,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}