{"id":"W2625851781","doi":"10.32378/ijp.v2i1.53","title":"EMS Gathering 2017 Abstract Supplement","year":2017,"lang":"en","type":"article","venue":"Irish Journal of Paramedicine","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fanshawe College","funders":"","keywords":"Medicine; Medical emergency; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0007283485,0.0001107171,0.000392006,0.00009836533,0.0001618196,0.00004746727,0.0001634695,0.00006095643,0.0002022091],"category_scores_gemma":[0.0004808586,0.00007576129,0.0001866232,0.00002488511,0.0001396342,0.0001674221,0.00002753634,0.0003260574,0.00002873992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004706939,"about_ca_system_score_gemma":0.00009814351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000390426,"about_ca_topic_score_gemma":0.00000359843,"domain_scores_codex":[0.9987389,0.00001218522,0.0004578737,0.0000964587,0.000505187,0.0001893212],"domain_scores_gemma":[0.9984596,0.00005659474,0.0006657972,0.0003371345,0.0002487355,0.0002321037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001264621,0.0003937073,0.353599,0.0002698894,0.0008309689,0.003848273,0.001453088,0.00007428267,0.04369462,0.00006211172,0.5342408,0.0602687],"study_design_scores_gemma":[0.004415744,0.0003365965,0.9078597,0.0008509051,0.0002817521,0.0004592477,0.000368683,0.00003858041,0.001919292,0.000131501,0.08322945,0.0001085151],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710487,0.0008891245,0.0004841192,0.01115883,0.003858818,0.0001696437,0.000004889653,0.00001035058,0.01237555],"genre_scores_gemma":[0.99537,0.0004466443,0.0008112179,0.0001854345,0.002812438,0.000001281213,0.000004767291,0.0000137895,0.0003543807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5542608,"threshold_uncertainty_score":0.3089456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05820338467852537,"score_gpt":0.3859511347230921,"score_spread":0.3277477500445667,"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."}}