{"id":"W3179613356","doi":"10.1126/science.373.6552.268","title":"European law could boost clinical trials reporting","year":2021,"lang":"en","type":"article","venue":"Science","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Enforcement; Business; Law enforcement; Accounting; Political science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.06763027,0.00008625021,0.000480933,0.0000935438,0.0003200503,0.00008406511,0.0002956123,0.00003550681,0.0002810809],"category_scores_gemma":[0.09585164,0.00005811784,0.0001394774,0.001221463,0.002232931,0.0001716146,0.0001980073,0.0003621495,0.0001829325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004355892,"about_ca_system_score_gemma":0.001652783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003755567,"about_ca_topic_score_gemma":0.0000203074,"domain_scores_codex":[0.9955196,0.0004289482,0.001477513,0.0006334769,0.001431432,0.0005089713],"domain_scores_gemma":[0.9968216,0.0005511813,0.0005583807,0.0006878366,0.0006472749,0.0007337715],"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":[0.0001641304,0.0005599988,0.09397061,0.0001085688,0.0000363385,0.009310308,0.001398921,0.000002732869,0.603967,0.01117296,0.01267767,0.2666308],"study_design_scores_gemma":[0.004116181,0.0008705145,0.4640302,0.0006519667,0.000122419,0.002038392,0.003141062,0.0007566637,0.1074323,0.0006284823,0.4158536,0.0003582765],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5499326,0.0005622605,0.0002649395,0.007631985,0.001629673,0.0002926104,0.000001865507,0.00008630037,0.4395978],"genre_scores_gemma":[0.9866368,0.0001325839,0.001263789,0.005363406,0.0008256233,0.000002241214,0.000002861427,0.000008545245,0.005764182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4965347,"threshold_uncertainty_score":0.9600708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5954939744380242,"score_gpt":0.6214831403489366,"score_spread":0.02598916591091238,"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."}}