{"id":"W1973404359","doi":"10.1371/journal.pmed.0030330","title":"Regulating the Market in Human Research Participants","year":2006,"lang":"en","type":"article","venue":"PLoS Medicine","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Ontario Genomics; Ontario Genomics Institute; Genome Canada","keywords":"Incentive; Corporate governance; Political science; Strengths and weaknesses; Public relations; Law and economics; Regulatory reform; Public economics; Public administration; Business; Economics; Psychology; Law; Social psychology; Finance; Market economy","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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006236487,0.0001595526,0.0002757219,0.0001565747,0.0006734169,0.00001006236,0.000364213,0.0003660216,0.005985905],"category_scores_gemma":[0.0007165335,0.0001057498,0.00002993132,0.0006437824,0.0008960937,0.00006604512,0.0001048113,0.003310278,0.00008017652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001244448,"about_ca_system_score_gemma":0.00006920983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004389186,"about_ca_topic_score_gemma":0.0002963078,"domain_scores_codex":[0.9954221,0.002193673,0.0005663253,0.0003090081,0.0004483098,0.00106058],"domain_scores_gemma":[0.9973037,0.001918118,0.00007880452,0.0002713792,0.0001376693,0.0002903017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007057563,0.001405685,0.3422832,0.000396489,0.00013112,0.0004150451,0.003237295,0.0002483183,0.2286109,0.02971212,0.3839104,0.008943604],"study_design_scores_gemma":[0.01028929,0.0007797983,0.2818696,0.0009271762,0.0003201832,0.00005324085,0.004013244,0.02559496,0.1239226,0.0476943,0.5037714,0.0007642074],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8560951,0.001065416,0.000001718365,0.0393874,0.0003213919,0.0005644793,0.000007183161,0.00006128416,0.102496],"genre_scores_gemma":[0.9892403,0.00006221385,0.00001040334,0.002760549,0.001679964,0.0001122726,0.00001345233,0.00001896154,0.006101852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1331452,"threshold_uncertainty_score":0.9989891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8112436265062325,"score_gpt":0.6590260326569921,"score_spread":0.1522175938492404,"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."}}