{"id":"W2408572623","doi":"10.1097/opx.0000000000000908","title":"Transparency in Biomedical Research","year":2016,"lang":"en","type":"article","venue":"Optometry and Vision Science","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transparency (behavior); Compendium; Public relations; Best practice; Medicine; Political science; Geography; Law","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":["metaresearch","open_science"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4630225,0.002242807,0.006657172,0.01390379,0.009156138,0.0462708,0.007523203,0.03003171,0.03186681],"category_scores_gemma":[0.7547071,0.003610971,0.004340269,0.01333493,0.05415021,0.031527,0.02709263,0.03396801,0.01837097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0140783,"about_ca_system_score_gemma":0.05028152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002163238,"about_ca_topic_score_gemma":0.00154978,"domain_scores_codex":[0.3153866,0.465615,0.06852145,0.03333233,0.1107114,0.006433264],"domain_scores_gemma":[0.09273832,0.6846606,0.03550508,0.1365089,0.04555682,0.005030273],"domain_codex":"methods","domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001787856,0.00005619343,0.0007168408,0.004879699,0.0002463179,0.0002881019,0.006415953,0.0006146235,0.0003179206,0.7244782,0.1505898,0.1112176],"study_design_scores_gemma":[0.0001124787,0.00006038912,0.0006217259,0.00787094,0.00007772953,0.0004112464,0.0008537215,0.000872028,0.0004694324,0.6292191,0.3593135,0.0001176339],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002344581,0.04012753,0.2165113,0.4390568,0.04186599,0.004147576,0.003737693,0.002226723,0.2499819],"genre_scores_gemma":[0.228368,0.04672243,0.313503,0.2763782,0.06481025,0.01974176,0.004673669,0.004231,0.0415719],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9924768,"threshold_uncertainty_score":0.6621889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1678444586077112,"score_gpt":0.6133150442515704,"score_spread":0.4454705856438591,"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."}}