{"id":"W1549794467","doi":"","title":"Mercenary hypocrisy at CMAJ.","year":2004,"lang":"en","type":"letter","venue":"PubMed","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hypocrisy; Medicine; Political science; Operations research; Law; Engineering","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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.000584911,0.0006625045,0.0004311349,0.000500876,0.003008146,0.001572987,0.0007572518,0.01690602,0.04650911],"category_scores_gemma":[0.003749823,0.000357619,0.0005985481,0.0003596495,0.0008682255,0.001399792,0.0006543326,0.01577035,0.01530393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003046425,"about_ca_system_score_gemma":0.001468002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005993037,"about_ca_topic_score_gemma":0.01416071,"domain_scores_codex":[0.9993252,0.0001448294,0.00003810231,0.0001360866,0.0001908194,0.0001650203],"domain_scores_gemma":[0.9991975,0.0002938071,0.00005405348,0.00002413289,0.0001500721,0.0002803376],"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":[0.00007732471,0.00005323433,0.000615549,0.00004220844,0.000007561806,0.00983052,0.00007717656,0.00002186227,0.0001943016,0.001623965,0.9775349,0.009921445],"study_design_scores_gemma":[0.0001409612,0.0001228463,0.003235115,0.0004206955,0.00002456999,0.01792992,0.0003644468,0.0002320932,0.0004346215,0.005347345,0.9716918,0.00005558164],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001484772,0.00523059,0.0001121687,0.9055997,0.03821907,0.00003711207,0.0001362677,0.00009643698,0.04908392],"genre_scores_gemma":[0.02323439,0.003953737,0.0002595112,0.8167426,0.03264011,0.00004327489,0.00008980894,0.00005582792,0.1229808],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.983094,"threshold_uncertainty_score":0.1555885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5194739066389552,"score_gpt":0.5020816415156867,"score_spread":0.01739226512326852,"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."}}