{"id":"W4283155200","doi":"10.1016/j.jclinepi.2022.06.008","title":"Reporting of funding and conflicts of interest improved from preprints to peer-reviewed publications of biomedical research","year":2022,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Impact","funders":"","keywords":"Preprint; Peer review; Publishing; Quarter (Canadian coin); Conflict of interest; Library science; Medicine; Political science; Computer science; World Wide Web; History; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.1309377,0.003297374,0.007329697,0.008740028,0.005655241,0.02538296,0.004368701,0.01070063,0.1123472],"category_scores_gemma":[0.536783,0.002445828,0.003809545,0.0105959,0.006959905,0.01025833,0.007947745,0.008710454,0.05801796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004442022,"about_ca_system_score_gemma":0.02966608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001316673,"about_ca_topic_score_gemma":0.002558933,"domain_scores_codex":[0.7998403,0.05847403,0.07157413,0.01626024,0.04372524,0.01012601],"domain_scores_gemma":[0.2781018,0.1492844,0.08792353,0.1503284,0.303428,0.03093384],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.007106076,0.0009338605,0.0429382,0.01527123,0.00293956,0.002246354,0.004905863,0.0005678026,0.01075174,0.02613239,0.7087618,0.1774451],"study_design_scores_gemma":[0.002340163,0.0009546825,0.07346441,0.01339256,0.002181699,0.003437659,0.005399301,0.005555035,0.01568691,0.05067536,0.82601,0.0009021349],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.05756521,0.0163338,0.1020498,0.1494894,0.3810832,0.02093388,0.1289705,0.007541894,0.1360324],"genre_scores_gemma":[0.4008335,0.01104488,0.1428494,0.0227579,0.07152767,0.01959799,0.09516283,0.007449669,0.2287762],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9892994,"threshold_uncertainty_score":0.692473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9024043707080208,"score_gpt":0.70174097354069,"score_spread":0.2006633971673308,"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."}}