{"id":"W2152105789","doi":"10.1093/ije/dym152","title":"Commentary: The rise and rise of corporate epidemiology and the narrowing of epidemiology's vision","year":2007,"lang":"en","type":"letter","venue":"International Journal of Epidemiology","topic":"Healthcare cost, quality, practices","field":"Health Professions","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Health Research Council of New Zealand","keywords":"Epidemiology; Hindsight bias; Quarter (Canadian coin); Medicine; Political science; History; Psychology; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["sts"],"domain":null,"study_design":"not_applicable","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch"],"domain":"methods","study_design":"theoretical_or_conceptual","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02159843,0.002120429,0.003389492,0.002579152,0.007553434,0.007694865,0.01112354,0.07935829,0.009588799],"category_scores_gemma":[0.1259127,0.001724773,0.002806492,0.00232152,0.01646382,0.01465256,0.004125859,0.09836112,0.008599707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01099874,"about_ca_system_score_gemma":0.01865527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01975224,"about_ca_topic_score_gemma":0.01846783,"domain_scores_codex":[0.9822112,0.006663577,0.00146545,0.002961563,0.005375409,0.001322786],"domain_scores_gemma":[0.8655033,0.09868112,0.004964567,0.002224292,0.02010415,0.008522604],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001477491,0.000005369095,0.00003504033,0.00009075733,0.000007933828,0.0001012799,0.0001683916,0.00001696207,0.00002751619,0.001051437,0.9972348,0.00124586],"study_design_scores_gemma":[0.0001041588,0.00005388621,0.0005460245,0.001553357,0.00005210433,0.0008603568,0.001151909,0.000252923,0.0002187405,0.01002152,0.9850546,0.000130373],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00004753199,0.001236454,0.00004195124,0.9568775,0.04143576,0.000005757186,0.00003303028,0.00002025529,0.0003016876],"genre_scores_gemma":[0.0007018888,0.0008912191,0.00008385376,0.944415,0.05271524,0.00001995938,0.00001307925,0.00002694926,0.001132902],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9784016,"threshold_uncertainty_score":0.1142248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6269511837730282,"score_gpt":0.5874862943632142,"score_spread":0.03946488940981396,"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."}}