{"id":"W2082526348","doi":"10.1161/strokeaha.107.510750","title":"Response to Letter by Haft","year":2008,"lang":"en","type":"article","venue":"Stroke","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Atrial fibrillation; Occult; Stroke (engine); Population; Categorization; Internal medicine; Artificial intelligence; Alternative medicine; Pathology","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":[],"consensus_categories":[],"category_scores_codex":[0.004241754,0.0009475377,0.002035883,0.001086943,0.003865364,0.004291218,0.002349157,0.04739895,0.01623963],"category_scores_gemma":[0.03174377,0.0009563891,0.00129644,0.0009832934,0.002536902,0.002655765,0.002242887,0.0290445,0.01558612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004330013,"about_ca_system_score_gemma":0.004574246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006951062,"about_ca_topic_score_gemma":0.007698681,"domain_scores_codex":[0.997182,0.0007783376,0.0003380319,0.0003566835,0.0006792133,0.0006656313],"domain_scores_gemma":[0.9862618,0.007019682,0.0009716755,0.0005427743,0.003006655,0.00219738],"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":[0.00003472593,0.000006971791,0.000268549,0.0000266398,0.000008465146,0.0002221904,0.00004340555,0.00001014915,0.00002681146,0.0001898473,0.9977041,0.001458061],"study_design_scores_gemma":[0.0001658852,0.00009133745,0.003847343,0.0004386807,0.00006545802,0.001103195,0.001184082,0.0002737139,0.0002655569,0.001921634,0.9905572,0.00008594331],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003193795,0.0006043506,0.00003813789,0.9554315,0.04234168,0.00001312797,0.00007980172,0.00002807958,0.001143926],"genre_scores_gemma":[0.002220554,0.0005100882,0.00006962715,0.9655036,0.02273174,0.00003645351,0.00005628628,0.00002598895,0.008845618],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04739895,"threshold_uncertainty_score":0.05432689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02837755395008042,"score_gpt":0.2708922538618665,"score_spread":0.2425146999117861,"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."}}