{"id":"W2906647356","doi":"10.22114/ajem.v0i0.96","title":"Flight Attendant's Perspective on the Medical Professional's Presence During In-Flight Cardiopulmonary Resuscitation.","year":2018,"lang":"en","type":"article","venue":"PubMed","topic":"Travel-related health issues","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cardiopulmonary resuscitation; Perspective (graphical); Resuscitation; Medicine; Medical emergency; Emergency medicine; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001243351,0.0003441205,0.0001461884,0.0007906239,0.005544913,0.002924951,0.0004647486,0.002584369,0.02153197],"category_scores_gemma":[0.00282811,0.0001238455,0.0003432283,0.0004374288,0.001569307,0.003078488,0.003395734,0.004557563,0.003016559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002529094,"about_ca_system_score_gemma":0.003049857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02121901,"about_ca_topic_score_gemma":0.0548627,"domain_scores_codex":[0.9984384,0.0006483447,0.00004460567,0.0001176434,0.0003208097,0.0004302411],"domain_scores_gemma":[0.9967638,0.0003452918,0.0003002091,0.00002460917,0.0006018737,0.001964199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.000105758,0.0001604065,0.03652513,0.0007905929,0.00002702818,0.007540654,0.2250972,0.00008143603,0.001335325,0.01412442,0.5817852,0.1324269],"study_design_scores_gemma":[0.000008780673,0.0002291249,0.03483348,0.001398589,0.00002825155,0.008179475,0.3941999,0.00007692205,0.0001679166,0.001376963,0.5594417,0.00005891932],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1588643,0.04409693,0.001024259,0.5267801,0.01962288,0.00006137088,0.0008245815,0.00008894446,0.2486366],"genre_scores_gemma":[0.8018247,0.03739803,0.0009583209,0.09984197,0.006367735,0.00005205207,0.0004219812,0.00005627462,0.05307878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02153197,"threshold_uncertainty_score":0.07203162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02666393450037439,"score_gpt":0.3098068419188296,"score_spread":0.2831429074184552,"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."}}