{"id":"W4310708192","doi":"10.1111/jth.14702","title":"Changes","year":2022,"lang":"en","type":"article","venue":"Journal of Thrombosis and Haemostasis","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Nothing; Publishing; Computer science; Library science; History; Political science; Law; Philosophy; Epistemology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002342779,0.0004057064,0.0002347924,0.001737265,0.001717121,0.003784215,0.001188278,0.001817563,0.2121525],"category_scores_gemma":[0.01111733,0.0002038516,0.0006239708,0.001795883,0.0009908236,0.001913146,0.001904723,0.002153769,0.06744765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002968001,"about_ca_system_score_gemma":0.003683014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01132485,"about_ca_topic_score_gemma":0.01226465,"domain_scores_codex":[0.996136,0.0005106744,0.0001571407,0.000653663,0.001866255,0.0006762331],"domain_scores_gemma":[0.9930477,0.0007112008,0.0003873495,0.0008494564,0.003735144,0.001269216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002904014,0.0001654954,0.00970023,0.0003147611,0.00002692104,0.0003116945,0.001856626,0.0001837168,0.002142569,0.05657057,0.6483707,0.2800662],"study_design_scores_gemma":[0.000007984703,0.00001756384,0.007295197,0.00003269466,0.000003779643,0.00009242824,0.0005239683,0.00002341789,0.0002111539,0.001130583,0.9906549,0.000006215226],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02847928,0.001799458,0.003392043,0.0512158,0.0209438,0.0002576037,0.009630427,0.001271565,0.88301],"genre_scores_gemma":[0.1078134,0.001226097,0.002391246,0.02081816,0.003000407,0.0002192698,0.006320949,0.0005393405,0.8576711],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7878475,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2881294560842393,"score_gpt":0.4543375046397343,"score_spread":0.1662080485554949,"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."}}