{"id":"W7115760536","doi":"10.48448/jc58-md12","title":"Detection of Open Science Practices in Major Medical Journals: A Survey and Diagnostic Accuracy of Automatic Tools Using Sensitivity and Specificity","year":2025,"lang":"","type":"other","venue":"Underline Science Inc.","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Open science; Protocol (science); Open data; Diagnostic accuracy; Citizen science; MEDLINE; Open source; Medical science; Sensitivity (control systems)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.09792849,0.0007779939,0.002036892,0.005641863,0.001072921,0.00270569,0.003432541,0.0004887026,0.0004905585],"category_scores_gemma":[0.458418,0.0007384552,0.0000677998,0.01443368,0.02234817,0.007873498,0.006068647,0.001446039,0.00001440117],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001071173,"about_ca_system_score_gemma":0.02182657,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03535034,"about_ca_topic_score_gemma":0.07340095,"domain_scores_codex":[0.9841112,0.003611439,0.002771918,0.002588575,0.00556009,0.001356712],"domain_scores_gemma":[0.9431998,0.04036004,0.01068071,0.001563431,0.003146181,0.00104986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004185858,0.002452176,0.1815239,0.002000486,0.0001584138,0.0002447417,0.001369076,0.0005030014,0.5051561,0.0004979793,0.00002178297,0.3056538],"study_design_scores_gemma":[0.001461346,0.0002378221,0.5590132,0.007583123,0.0001686377,0.0003714545,0.0009759874,0.41487,0.01433628,0.0003363467,0.00001682343,0.0006289832],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887996,0.001549667,0.00455914,0.0002020581,0.0005822416,0.002645919,0.0003933206,0.00002940422,0.001238672],"genre_scores_gemma":[0.991315,0.001311261,0.007075464,0.00003741452,0.00007364801,0.000008755936,0.000004103294,0.00009507807,0.00007926083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4908198,"threshold_uncertainty_score":0.9995067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.136147713560403,"score_gpt":0.4313737570992252,"score_spread":0.2952260435388221,"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."}}