{"id":"W2905241525","doi":"10.1161/circ.132.suppl_3.16492","title":"Abstract 16492: Spatiotemporal AED Location Optimization","year":2015,"lang":"en","type":"article","venue":"Circulation","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; St. Michael's Hospital; University of Toronto","funders":"","keywords":"Medicine; McNemar's test; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001349336,0.001221945,0.001046641,0.0006354592,0.0003426882,0.0009176728,0.001383438,0.001115394,0.004496518],"category_scores_gemma":[0.003666335,0.000624907,0.001234171,0.0007641005,0.0005884003,0.001027209,0.001067058,0.001000918,0.0005217944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001701733,"about_ca_system_score_gemma":0.002439771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04237341,"about_ca_topic_score_gemma":0.01755474,"domain_scores_codex":[0.9993491,0.0002150857,0.0000483084,0.0001680041,0.000132046,0.00008748705],"domain_scores_gemma":[0.998398,0.0009403122,0.0002042211,0.0000734114,0.0003344713,0.00004957269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001185525,0.000008100288,0.000601312,0.00001647292,0.00001061778,0.00001595846,0.000005817068,0.9960246,0.000106177,0.0007215969,0.0003537955,0.002123745],"study_design_scores_gemma":[0.000004146333,0.000008496897,0.0001553298,0.000003496187,0.000004747356,0.000007137392,0.000004916149,0.9990348,0.00007780148,0.0004366701,0.000260509,0.00000196871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09413571,0.0006545396,0.8865733,0.001335443,0.0001241478,0.0001817602,0.002156922,0.0005398443,0.01429844],"genre_scores_gemma":[0.8649187,0.0004822799,0.1236643,0.000288565,0.00008613805,0.0003585249,0.002039331,0.0001839612,0.007978147],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04237341,"threshold_uncertainty_score":0.08425355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02302402150158806,"score_gpt":0.2162136814263875,"score_spread":0.1931896599247994,"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."}}