{"id":"W2178154554","doi":"10.1111/trf.13420","title":"Evaluation of CONSORT compliance in TRANSFUSION","year":2015,"lang":"en","type":"article","venue":"Transfusion","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Transfusion medicine; Medicine; Reprint; Library science; Blood transfusion; Surgery; Computer 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":[0.4448113,0.0007891174,0.002833347,0.004774008,0.003225779,0.004091766,0.00220922,0.003293416,0.01046622],"category_scores_gemma":[0.7596748,0.001281508,0.003528121,0.004966916,0.003331366,0.004077238,0.004505982,0.003465844,0.001416973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004826317,"about_ca_system_score_gemma":0.01751954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001654263,"about_ca_topic_score_gemma":0.001954703,"domain_scores_codex":[0.4654003,0.4064377,0.07827624,0.008468203,0.03779053,0.003627065],"domain_scores_gemma":[0.1340408,0.6724548,0.09427553,0.04902597,0.04657204,0.003630933],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04741194,0.003407977,0.4256051,0.01158389,0.005645946,0.0008086865,0.04594966,0.004448676,0.0005535784,0.02788004,0.03877557,0.387929],"study_design_scores_gemma":[0.03181547,0.0415053,0.5732564,0.02485788,0.009872201,0.004312265,0.02323365,0.05307455,0.01091763,0.0602169,0.1657525,0.001185146],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7775989,0.005718881,0.0646982,0.01933772,0.005849283,0.05217836,0.01029731,0.002079688,0.06224181],"genre_scores_gemma":[0.8503146,0.0009625618,0.06311172,0.001995217,0.0006265615,0.07644973,0.00218608,0.0003075257,0.004046008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5551888,"threshold_uncertainty_score":0.6846466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1108540924735937,"score_gpt":0.3630313188272286,"score_spread":0.2521772263536349,"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."}}