{"id":"W4293118089","doi":"10.2139/ssrn.4119868","title":"How the Common Impact Data Standard Relates to Other Data Standards","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"LogicalOutcomes","funders":"","keywords":"Computer science; Data science","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"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3422596,0.0008731842,0.002298158,0.0162672,0.008165523,0.04837651,0.006399772,0.01222683,0.01041787],"category_scores_gemma":[0.6621265,0.002059171,0.004242023,0.02058014,0.02680488,0.04873357,0.01744643,0.02098208,0.003748142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01487813,"about_ca_system_score_gemma":0.04270806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01593773,"about_ca_topic_score_gemma":0.008087084,"domain_scores_codex":[0.4904682,0.2947679,0.06075546,0.01865035,0.125682,0.00967608],"domain_scores_gemma":[0.2029886,0.5602284,0.01929226,0.1145906,0.09639414,0.006506092],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004354356,0.00003644465,0.002433829,0.0002278034,0.0000517576,0.0000715315,0.00151967,0.0007155199,0.0001019059,0.9628609,0.01088085,0.0210562],"study_design_scores_gemma":[0.00004902473,0.00005834019,0.002260648,0.001062756,0.00009896102,0.0003840225,0.002346733,0.003862898,0.001278015,0.883471,0.1049987,0.0001289965],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01748435,0.00393626,0.5706486,0.2015395,0.007504424,0.001106614,0.001924733,0.001965268,0.1938903],"genre_scores_gemma":[0.5094247,0.004789142,0.3935919,0.05522025,0.004809198,0.001830438,0.004373484,0.003626303,0.02233471],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6577404,"threshold_uncertainty_score":0.811111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3965806409035441,"score_gpt":0.5608085511825954,"score_spread":0.1642279102790514,"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."}}