{"id":"W4241371891","doi":"10.1503/cmaj.140098","title":"Narcotized","year":2014,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Earthquake and Disaster Impact Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Courtesy; Computer science; Phone; Window (computing); Worry; Computer graphics (images); Telecommunications; Artificial intelligence; World Wide Web; Medicine; Philosophy; Linguistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002173821,0.0006942853,0.000554722,0.0003796603,0.00194602,0.001393494,0.0008618372,0.001934989,0.4205793],"category_scores_gemma":[0.001443095,0.0002491434,0.0008276555,0.000226114,0.000607279,0.001448051,0.001544331,0.004751207,0.1874339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000555006,"about_ca_system_score_gemma":0.001063516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00602794,"about_ca_topic_score_gemma":0.009703137,"domain_scores_codex":[0.9997719,0.0000308325,0.00001229425,0.00003441425,0.00008460299,0.00006599622],"domain_scores_gemma":[0.9997119,0.000016468,0.00002087862,0.00002650008,0.000124164,0.0001000835],"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":[0.0002161733,0.000144229,0.0003586337,0.0002182823,0.00002309218,0.001837675,0.0001682173,0.00004048034,0.001105019,0.003062299,0.8621776,0.1306484],"study_design_scores_gemma":[0.0000462537,0.0000756166,0.0007707709,0.0002705498,0.00001380008,0.002744478,0.0002696084,0.000048023,0.0003916271,0.001274336,0.9940764,0.00001854763],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007165384,0.009821567,0.005941921,0.09770427,0.02615563,0.0005082222,0.003010065,0.003994833,0.8456981],"genre_scores_gemma":[0.02688946,0.007076774,0.004263252,0.06104443,0.002384143,0.0002974757,0.001366617,0.00110876,0.895569],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4205793,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01061556252117304,"score_gpt":0.2729615106015383,"score_spread":0.2623459480803653,"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."}}