{"id":"W2071351610","doi":"10.1016/s0895-4356(01)00407-3","title":"A taxonomy for responsiveness","year":2001,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":489,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Institute for Work & Health; St. Michael's Hospital","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases","keywords":"Taxonomy (biology); Meaning (existential); Psychology; Context (archaeology); Computer science; Selection (genetic algorithm); Social psychology; Cognitive psychology; Management science; Artificial intelligence; Ecology; Geography; Psychotherapist; Biology; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.01574061,0.001916677,0.001604997,0.01010768,0.0037879,0.01062941,0.002569333,0.005054039,0.02652881],"category_scores_gemma":[0.06084321,0.001011763,0.002813848,0.009299771,0.01237267,0.02145319,0.007743379,0.007679461,0.00684809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004130966,"about_ca_system_score_gemma":0.002925641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001794397,"about_ca_topic_score_gemma":0.0006574581,"domain_scores_codex":[0.9777815,0.01121825,0.001771407,0.002484397,0.004876946,0.00186769],"domain_scores_gemma":[0.9589772,0.02512191,0.002447044,0.00667397,0.005561912,0.001217952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005279651,0.000009606597,0.0003639852,0.0000462906,0.000008969272,0.0000470314,0.0006618045,0.0003915227,0.00008657166,0.9821727,0.003917759,0.01228857],"study_design_scores_gemma":[0.000007642124,0.00002483597,0.0003462759,0.000100308,0.00001450014,0.000187732,0.0008919863,0.002511681,0.0001372671,0.9406957,0.05506067,0.00002136852],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009824,0.004356764,0.6525493,0.03567212,0.001270911,0.000547946,0.001146885,0.001180798,0.2934513],"genre_scores_gemma":[0.6545101,0.007231539,0.2332214,0.01390281,0.003686729,0.00545885,0.002602936,0.001036009,0.07834975],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02652881,"threshold_uncertainty_score":0.08874768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8979589234014199,"score_gpt":0.6413604132216578,"score_spread":0.2565985101797621,"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."}}