{"id":"W4404643945","doi":"10.1016/j.dialog.2024.100200","title":"Fishing with skis, digging with noodles: Resolving task-and-tool mismatches in efforts to advance health equity","year":2024,"lang":"en","type":"article","venue":"Dialogues in Health","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Michael Smith Health Research BC","keywords":"Digging; Equity (law); Fishing; Task (project management); Health equity; Computer science; Business; Geography; Fishery; Political science; Economics; Health care; Management; Economic growth; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.07924274,0.001247392,0.001023517,0.002976381,0.02668844,0.02839653,0.004066973,0.01097731,0.003909227],"category_scores_gemma":[0.08530631,0.001112331,0.0007042875,0.002148556,0.1033321,0.03449595,0.03156345,0.01334998,0.0008169533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009461015,"about_ca_system_score_gemma":0.01910134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006531615,"about_ca_topic_score_gemma":0.008270315,"domain_scores_codex":[0.9128129,0.07336996,0.001367738,0.002633691,0.004995528,0.004820304],"domain_scores_gemma":[0.9556396,0.03031456,0.003660447,0.004723769,0.002457538,0.003204191],"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":[0.00007969508,0.00006708414,0.00245103,0.0001693764,0.00002851989,0.0006449029,0.4736007,0.0006368846,0.0006215993,0.4795619,0.008679404,0.03345891],"study_design_scores_gemma":[0.00002335547,0.00008467593,0.0009001353,0.0007983317,0.00002456643,0.0003066878,0.435596,0.001375602,0.0008627234,0.428673,0.1312842,0.00007078826],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2089028,0.0072099,0.1709149,0.4462292,0.003380788,0.0002814621,0.0000488999,0.0004768391,0.1625552],"genre_scores_gemma":[0.9603291,0.001000669,0.02226551,0.009101876,0.0002033441,0.0001586023,0.00001557409,0.0001664333,0.006759046],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07924274,"threshold_uncertainty_score":0.4190807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03536278616759104,"score_gpt":0.3288846746528419,"score_spread":0.2935218884852508,"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."}}