{"id":"W4400994863","doi":"10.69645/rkwd1577","title":"Smoking &amp; stroke: best practices for your patients","year":2018,"lang":"en","type":"article","venue":"The biomedical & life sciences collection.","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Stroke (engine); Medicine; Physical medicine and rehabilitation; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001271497,0.0001885889,0.0002513148,0.0002828759,0.001331968,0.00009969277,0.0004764081,0.0001212704,0.0004427763],"category_scores_gemma":[0.002388161,0.0001223572,0.0001205171,0.001581627,0.001641158,0.000210408,0.0002082666,0.0002314325,0.0001523473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000173559,"about_ca_system_score_gemma":0.0004771353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002821337,"about_ca_topic_score_gemma":0.0001079331,"domain_scores_codex":[0.9971154,0.00006189564,0.00042101,0.000551023,0.001314395,0.0005362387],"domain_scores_gemma":[0.9981362,0.0003973165,0.0004444225,0.0003434651,0.0003517608,0.0003268232],"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":[0.000239399,0.0005577918,0.02451638,0.00004986723,0.0001900691,0.000001726193,0.0005677407,0.000001317229,0.0006158492,0.00006171513,0.96207,0.01112817],"study_design_scores_gemma":[0.001693873,0.00157101,0.003984986,0.00005264269,0.0002183696,0.00001691498,0.0009276885,0.001511232,0.0001489742,0.00005104677,0.9896665,0.0001567918],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6704693,0.0006593204,0.05098777,0.04893747,0.01180155,0.005378447,0.0001256749,0.000484289,0.2111561],"genre_scores_gemma":[0.9033989,0.00005461221,0.01087593,0.005730941,0.003335764,0.0002604514,0.00004625275,0.00003204369,0.07626507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2329296,"threshold_uncertainty_score":0.9999682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07453624078844488,"score_gpt":0.3626670438730875,"score_spread":0.2881308030846426,"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."}}