{"id":"W4406550270","doi":"10.1016/j.yprs.2013.06.067","title":"10.1016/j.yprs.2013.06.067","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Traditional Chinese Medicine Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Latent class model; Class (philosophy); Statistics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006981635,0.0008787986,0.0005442041,0.001852708,0.001007811,0.002784394,0.0008973881,0.003088069,0.8860508],"category_scores_gemma":[0.001454214,0.0003485215,0.0005325657,0.001272572,0.0009319392,0.002006995,0.001342758,0.001252202,0.8058372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008031551,"about_ca_system_score_gemma":0.001317401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003426405,"about_ca_topic_score_gemma":0.002618778,"domain_scores_codex":[0.9997576,0.00002907779,0.00002195958,0.0000613728,0.00007633286,0.00005379325],"domain_scores_gemma":[0.9992291,0.0001480634,0.0001167326,0.00005809294,0.0001878592,0.0002602078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002482375,0.0002162072,0.00460787,0.0006630461,0.0000440455,0.0003062057,0.0001967673,0.0001238137,0.000679166,0.007773926,0.3192495,0.6658912],"study_design_scores_gemma":[0.000059029,0.0001187933,0.007985893,0.001311901,0.00005094046,0.002490081,0.0005538401,0.0001547546,0.0004124209,0.005366294,0.9814652,0.00003074218],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004743393,0.02438626,0.001499747,0.01162589,0.002725496,0.00009005988,0.003177611,0.001205871,0.9505455],"genre_scores_gemma":[0.01741935,0.01093552,0.00163435,0.002611597,0.0009637763,0.00008038089,0.00192011,0.0001931911,0.9642416],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1139492,"threshold_uncertainty_score":0.1625346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009485715371755082,"score_gpt":0.2052714264768728,"score_spread":0.1957857111051177,"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."}}