{"id":"W2054346481","doi":"10.1136/bcr-2014-206485","title":"Did you hear the one about the policeman, the doctor and the pharmacist at 30 000 feet?","year":2014,"lang":"en","type":"article","venue":"BMJ Case Reports","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Police Service; University of Toronto","funders":"","keywords":"Medicine; Crew; Cardiopulmonary resuscitation; Medical emergency; Thrombolysis; Return of spontaneous circulation; Myocardial infarction; Emergency medical services; Odds; Emergency medicine; Pharmacist; Resuscitation; Pharmacy; Cardiology; Nursing; Aeronautics; Internal medicine","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":[0.001579716,0.001059733,0.0007246213,0.0008067575,0.008422944,0.004967142,0.00139114,0.01234461,0.02742902],"category_scores_gemma":[0.01596145,0.0005549687,0.0008623333,0.0005907591,0.004298259,0.0105212,0.003110729,0.01858056,0.01232909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001482154,"about_ca_system_score_gemma":0.001477499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008547805,"about_ca_topic_score_gemma":0.01130653,"domain_scores_codex":[0.9985176,0.0005645297,0.00006757183,0.0001939516,0.0002963177,0.000360073],"domain_scores_gemma":[0.9948905,0.001267975,0.0003758273,0.0001476071,0.00100031,0.002317776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"case_report","study_design_scores_codex":[0.00009555368,0.00007033717,0.002218608,0.0001511652,0.00003416172,0.007413572,0.01054655,0.00003556932,0.0002557707,0.004019465,0.9561952,0.01896395],"study_design_scores_gemma":[0.00003074223,0.0001152876,0.001618931,0.0005302153,0.0000285846,0.01499135,0.0421985,0.00008559004,0.0001594644,0.002292653,0.9378559,0.00009293166],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.006491276,0.01127152,0.0008855247,0.891457,0.06302731,0.00003358093,0.0001986532,0.0001785142,0.02645654],"genre_scores_gemma":[0.0744824,0.0132834,0.0009687548,0.7727669,0.02757184,0.00007051828,0.0001727839,0.0003079595,0.1103754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02742902,"threshold_uncertainty_score":0.0917592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05691910331902281,"score_gpt":0.3960115853039164,"score_spread":0.3390924819848936,"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."}}