{"id":"W4253422237","doi":"10.1002/9781118762516.index","title":"Index","year":2014,"lang":"en","type":"paratext","venue":"","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Biostatistics; Index (typography); Library science; Citation; History; Medicine; Epidemiology; Computer science; World Wide Web; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004071903,0.001750336,0.001860739,0.006704534,0.0009394031,0.005915874,0.001972714,0.00155421,0.7137215],"category_scores_gemma":[0.04876006,0.0006254623,0.0007929913,0.008176711,0.0009094601,0.004424472,0.001886625,0.002193429,0.6014086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002601721,"about_ca_system_score_gemma":0.003269198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001644117,"about_ca_topic_score_gemma":0.003000662,"domain_scores_codex":[0.9957113,0.001329567,0.000461885,0.0003625218,0.001988842,0.0001459654],"domain_scores_gemma":[0.9780227,0.01074488,0.001018929,0.001918878,0.006871025,0.001423625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002439078,0.00002897184,0.00008073833,0.0003163844,0.000005406495,0.00001107177,0.00001253439,0.0002234648,0.00007787027,0.007569031,0.9058267,0.08582335],"study_design_scores_gemma":[0.00004147007,0.00003324741,0.0003799781,0.0004282803,0.000008644411,0.00007277911,0.00002159931,0.001226469,0.000214731,0.03853831,0.9590149,0.00001953503],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006359419,0.004822939,0.0965084,0.008760767,0.01140646,0.001485182,0.05769476,0.01761774,0.8010679],"genre_scores_gemma":[0.003412931,0.004446905,0.02826424,0.002932952,0.005209297,0.001473724,0.02931147,0.007705864,0.9172426],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2862785,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6816016167636747,"score_gpt":0.629782089966991,"score_spread":0.05181952679668367,"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."}}