{"id":"W4406511632","doi":"10.1016/j.yped.2014.08.099","title":"10.1016/j.yped.2014.08.099","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Adolescent and Pediatric Healthcare","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Lagging; Medicine; Demographic economics; Demography; Economics; Pathology","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":[0.0007353675,0.001046412,0.0005078671,0.002078759,0.001407098,0.003422758,0.001025382,0.004128712,0.9302711],"category_scores_gemma":[0.001974589,0.0004903172,0.0005867179,0.0008474309,0.001035609,0.003040028,0.001947409,0.001654962,0.8894154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009409277,"about_ca_system_score_gemma":0.00164215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003483269,"about_ca_topic_score_gemma":0.003679622,"domain_scores_codex":[0.9996312,0.00003028897,0.00002808465,0.00009103341,0.0001039012,0.0001154503],"domain_scores_gemma":[0.9987469,0.0001988937,0.0001371438,0.00007183501,0.0002600624,0.0005851499],"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":[0.0001827596,0.0003496796,0.007139163,0.0004144896,0.00003088103,0.0005110299,0.0002298828,0.0001723569,0.0004912921,0.005193493,0.3760563,0.6092287],"study_design_scores_gemma":[0.00004483296,0.0001006528,0.007279736,0.001464891,0.00003337382,0.003075767,0.0007806747,0.0002115225,0.0003285051,0.004966238,0.9816825,0.00003130759],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00477616,0.008004942,0.001821176,0.007665717,0.002859763,0.0000954969,0.002393461,0.001515593,0.9708676],"genre_scores_gemma":[0.01187012,0.003217811,0.001164082,0.001983167,0.0005498809,0.00005841974,0.00126102,0.0002479182,0.9796474],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06972891,"threshold_uncertainty_score":0.09945983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02729947000431927,"score_gpt":0.3199853300285141,"score_spread":0.2926858600241949,"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."}}