{"id":"W4388972279","doi":"10.1177/08465371231211290","title":"Cross-Sectional Evaluation of Open Science Practices at Imaging Journals: A Meta-Research Study","year":2023,"lang":"en","type":"article","venue":"Canadian Association of Radiologists Journal","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Lawson Health Research Institute; Ottawa Hospital; University of Ottawa","funders":"","keywords":"Medicine; Publishing; Protocol (science); Guideline; Open access publishing; Preprint; Impact factor; Research ethics; Conflict of interest; Open science; Library science; Family medicine; Alternative medicine; Political science; World Wide Web; Computer science; Pathology; Law","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.06595909,0.001277164,0.003234475,0.007274083,0.001113262,0.004329214,0.002317358,0.002217049,0.004280307],"category_scores_gemma":[0.1242064,0.001333537,0.009270987,0.009938792,0.001270238,0.004200556,0.002183418,0.001118434,0.0004953241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001284526,"about_ca_system_score_gemma":0.001589127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0015047,"about_ca_topic_score_gemma":0.002141808,"domain_scores_codex":[0.9391718,0.03325621,0.01436263,0.006770705,0.005333,0.001105665],"domain_scores_gemma":[0.6923598,0.1852036,0.09173532,0.01710447,0.01074778,0.002848984],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003587391,0.0002456321,0.8693525,0.01618561,0.100901,0.0002071152,0.0008677794,0.0002428565,0.0002773104,0.000264823,0.0004270469,0.007441022],"study_design_scores_gemma":[0.0008049228,0.00258749,0.824087,0.009698885,0.1545608,0.001423459,0.002093639,0.001017179,0.0007102701,0.0006173149,0.002292528,0.000106611],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8321872,0.1576253,0.003461086,0.000712046,0.000232217,0.0006066263,0.003415697,0.00006142416,0.001698337],"genre_scores_gemma":[0.988639,0.00737041,0.001976,0.0003466059,0.0001687747,0.0004065323,0.0008985079,0.00002817223,0.0001660823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9976826,"threshold_uncertainty_score":0.3488292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9381857974210593,"score_gpt":0.7001109207586906,"score_spread":0.2380748766623687,"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."}}