{"id":"W4322487098","doi":"10.1097/ede.0000000000001591","title":"Mindel C. Sheps: Counted, Dead or Alive","year":2023,"lang":"en","type":"article","venue":"Epidemiology","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Generalizability theory; Psychology; Measure (data warehouse); Computer science; Developmental psychology; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03323573,0.001173677,0.001947016,0.003693351,0.002324315,0.004290721,0.001908326,0.006045676,0.004898765],"category_scores_gemma":[0.1663222,0.0006630585,0.001150268,0.003722423,0.01925677,0.01102711,0.00221484,0.01130824,0.00115956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005988579,"about_ca_system_score_gemma":0.007147576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02410939,"about_ca_topic_score_gemma":0.01887893,"domain_scores_codex":[0.9729156,0.0152169,0.001549605,0.003809338,0.006033793,0.0004747711],"domain_scores_gemma":[0.879824,0.1066758,0.003268052,0.001884452,0.006676921,0.001670636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001989508,0.00002661932,0.001857371,0.0004983482,0.00009263381,0.0001805342,0.001537294,0.0008963752,0.00009791306,0.6606656,0.2106788,0.1232696],"study_design_scores_gemma":[0.000059234,0.00003825025,0.0009559236,0.0008079621,0.00006448998,0.0002617563,0.0004007788,0.001299115,0.0002683731,0.7854644,0.2102875,0.00009213913],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002555523,0.0888491,0.09944692,0.7692879,0.0178996,0.0001219003,0.000561234,0.000114317,0.02116347],"genre_scores_gemma":[0.2316745,0.1153435,0.117405,0.4563786,0.04694541,0.001105738,0.0004273267,0.0004138071,0.03030614],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03323573,"threshold_uncertainty_score":0.1757694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6506561001732234,"score_gpt":0.5616319595836654,"score_spread":0.08902414058955799,"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."}}