{"id":"W7107956552","doi":"10.5281/zenodo.17751796","title":"Paramedics","year":2023,"lang":"en","type":"book-chapter","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Core (optical fiber); Work (physics); MEDLINE; Key (lock)","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":[0.0003845156,0.000869991,0.0002737728,0.0006777634,0.001594474,0.002778822,0.0009235994,0.001872195,0.3410811],"category_scores_gemma":[0.001235305,0.000359963,0.0003450235,0.0006713021,0.000409123,0.002507484,0.0027747,0.002167126,0.1943404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001212126,"about_ca_system_score_gemma":0.001344387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001514476,"about_ca_topic_score_gemma":0.004862133,"domain_scores_codex":[0.9996021,0.0000738931,0.00001897572,0.00006998454,0.0001680687,0.00006698388],"domain_scores_gemma":[0.9995379,0.00007998987,0.00002262287,0.00004369498,0.0002063441,0.00010935],"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":[0.00001529331,0.00002966546,0.0001129871,0.0002348659,0.00000189086,0.0001713976,0.0005162916,0.00009961984,0.0004581289,0.03523006,0.8245233,0.1386065],"study_design_scores_gemma":[0.000001630338,0.000004697122,0.00006371454,0.00006357361,4.726742e-7,0.000145229,0.00008954737,0.00001786393,0.00004902488,0.001397717,0.9981648,0.000001655055],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007259836,0.00607572,0.002976972,0.00574604,0.004347626,0.0001044026,0.0004522489,0.00039178,0.9791793],"genre_scores_gemma":[0.002633214,0.002910693,0.001356375,0.002014206,0.0004308881,0.00003104642,0.0002009535,0.00008122215,0.9903414],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3410811,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06513261167145898,"score_gpt":0.2785344290327111,"score_spread":0.2134018173612522,"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."}}