{"id":"W4214715666","doi":"10.1090/dimacs/061","title":"Bioconsensus","year":2003,"lang":"en","type":"book","venue":"DIMACS series in discrete mathematics and theoretical computer science","topic":"Biomedical and Chemical Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008251164,0.0003087297,0.0006278487,0.0002215612,0.0001234394,0.0001385725,0.0003860061,0.0002669256,0.0002871911],"category_scores_gemma":[0.0003678163,0.0002108384,0.00009298667,0.0003585289,0.01152092,0.00006330253,0.0006219151,0.0006854141,0.00002672429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001071723,"about_ca_system_score_gemma":0.0004770218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.062291e-7,"about_ca_topic_score_gemma":2.469025e-7,"domain_scores_codex":[0.9973692,0.00001925431,0.0004521383,0.0006129934,0.0009645644,0.0005818229],"domain_scores_gemma":[0.998465,0.0002820992,0.00007158834,0.0005072565,0.0001377821,0.0005362964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002768389,0.00007549799,0.000005462783,0.0006078059,0.00001291131,0.0001048527,0.0001050351,5.335776e-8,0.0001796703,0.9948537,0.0007769799,0.003250326],"study_design_scores_gemma":[0.0005261315,0.0004064006,0.00001602595,0.001120249,0.00004066471,0.000380831,0.00002459573,0.00563235,0.0011738,0.9782329,0.01207604,0.0003699791],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.005198501,0.0006396553,0.009116262,0.003105476,0.0003094399,0.0008324786,0.00003718053,0.0000767196,0.9806843],"genre_scores_gemma":[0.1327458,0.002987104,0.4289537,0.004325385,0.001340525,0.000144524,0.0001795752,0.0003744308,0.428949],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5517353,"threshold_uncertainty_score":0.9911692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01303050890325409,"score_gpt":0.2860274778890046,"score_spread":0.2729969689857505,"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."}}