{"id":"W1912110843","doi":"10.1016/j.healun.2015.05.013","title":"Apples, oranges, and statistical magic: Limitations of registry studies and need for collaborative studies","year":2015,"lang":"en","type":"letter","venue":"The Journal of Heart and Lung Transplantation","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"MAGIC (telescope); Computer science; Data science; Physics","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":[0.3390825,0.0009858048,0.005012669,0.003903785,0.004655784,0.01264455,0.008764395,0.02665249,0.006136248],"category_scores_gemma":[0.658951,0.001532052,0.002863365,0.005696192,0.01050887,0.02158959,0.008560766,0.04318061,0.002183273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005030841,"about_ca_system_score_gemma":0.02120929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007940128,"about_ca_topic_score_gemma":0.01545898,"domain_scores_codex":[0.7075955,0.1927161,0.05172196,0.009974755,0.03529948,0.00269223],"domain_scores_gemma":[0.13018,0.7566097,0.02355413,0.03038151,0.04958699,0.009687633],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004116348,0.0002074109,0.01914597,0.002136778,0.000919335,0.0009370964,0.002029858,0.0003488266,0.0001378614,0.03301991,0.8167583,0.123947],"study_design_scores_gemma":[0.001542757,0.0003708713,0.01602999,0.02063903,0.001606719,0.00488052,0.008174062,0.003086549,0.0005623688,0.2177306,0.7247536,0.0006230088],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005137691,0.004695032,0.001236852,0.9868909,0.005574819,0.00002757329,0.0001333985,0.0000212782,0.0009064344],"genre_scores_gemma":[0.01420476,0.006359326,0.008594909,0.9274641,0.04233694,0.0002557347,0.0001724123,0.00006694022,0.0005448409],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.6609175,"threshold_uncertainty_score":0.8150289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1631671068576594,"score_gpt":0.3993857403292737,"score_spread":0.2362186334716143,"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."}}