{"id":"W1978153895","doi":"10.1146/annurev.med.60.042607.172126","title":"10.1146/annurev.med.60.042607.172126","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Medicine","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":[0.001150244,0.001138375,0.0008836683,0.002303609,0.001298415,0.004046972,0.0009616864,0.004068806,0.9298086],"category_scores_gemma":[0.002791702,0.0006595694,0.0009195983,0.00189979,0.001143238,0.003536076,0.003278896,0.002759593,0.9313434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007991628,"about_ca_system_score_gemma":0.0008392389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002292888,"about_ca_topic_score_gemma":0.002116367,"domain_scores_codex":[0.9996067,0.00007018047,0.00003766086,0.0001204112,0.00008974576,0.00007539858],"domain_scores_gemma":[0.9989593,0.0002393898,0.00009521913,0.000136272,0.0001771519,0.0003926121],"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":[0.0001083714,0.0001041346,0.0009561473,0.0004360674,0.00002577826,0.0001794145,0.0001260551,0.0002065114,0.0004260076,0.007277129,0.6377938,0.3523607],"study_design_scores_gemma":[0.00001719242,0.00002246659,0.001231903,0.0003837075,0.00001609974,0.0004112553,0.00006458884,0.00006177786,0.0000802888,0.001777062,0.9959207,0.0000129531],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007531783,0.0123717,0.001367567,0.009886049,0.002490229,0.00009520267,0.002839937,0.0009388992,0.9692572],"genre_scores_gemma":[0.00492297,0.01062595,0.001254962,0.003633698,0.001418847,0.0001115838,0.001664641,0.0003780936,0.9759892],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07019144,"threshold_uncertainty_score":0.1001196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01354010637596644,"score_gpt":0.1861914453109468,"score_spread":0.1726513389349803,"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."}}