{"id":"W2126381071","doi":"10.1177/0306312711398741","title":"Cancer clinical trials in the era of genomic signatures: Biomedical innovation, clinical utility, and regulatory-scientific hybrids","year":2011,"lang":"en","type":"article","venue":"Social Studies of Science","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; McGill University","funders":"Canadian Institutes of Health Research","keywords":"Cancer; Regulatory science; Clinical trial; Computational biology; Biology; Medicine; Bioinformatics; Genetics; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["sts"],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["sts"],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01710831,0.00008054032,0.0003987648,0.00005850019,0.0002513178,0.00001493916,0.0004039225,0.0001042984,0.000006131627],"category_scores_gemma":[0.005999862,0.0000571264,0.00009803131,0.000493277,0.01059279,0.000005508103,0.0003193858,0.0001517671,2.53997e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001397935,"about_ca_system_score_gemma":0.0005521444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007706132,"about_ca_topic_score_gemma":0.0001473092,"domain_scores_codex":[0.9978609,0.000266205,0.001075048,0.0003551513,0.0002689076,0.0001737649],"domain_scores_gemma":[0.9985613,0.0003652349,0.0004264137,0.0002053077,0.0004074171,0.00003429683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006322705,0.001324044,0.5304079,0.000146703,0.0004111007,0.000004421173,0.01441128,0.00000254813,0.2377874,0.0149922,0.03527196,0.1646082],"study_design_scores_gemma":[0.0009632861,0.0003681908,0.9768901,0.00002909805,0.00005101911,6.612372e-7,0.003527798,0.0000172466,0.007836688,0.003853679,0.006312191,0.0001500079],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949123,0.00352734,0.00002921918,0.0003690784,0.0008279348,0.0001877557,0.00004759869,0.000001417086,0.00009735385],"genre_scores_gemma":[0.9972143,0.002006475,0.0002227324,0.0002395221,0.0002915189,0.0000103905,0.000003705934,0.000003439032,0.000007919862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4464822,"threshold_uncertainty_score":0.9920998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1914710051807397,"score_gpt":0.4613223448751694,"score_spread":0.2698513396944296,"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."}}