{"id":"W4388719955","doi":"10.1370/afm.22.s1.4645","title":"Artificial Intelligence at Primary and Emergency Care Interface to Improve Care Delivery","year":2023,"lang":"en","type":"article","venue":"","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Computer science; Population; Medicine; Artificial intelligence; Environmental health; Geography","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":[0.02592212,0.0007355216,0.0009042873,0.005383459,0.002886975,0.0103764,0.002203658,0.003080385,0.01630587],"category_scores_gemma":[0.04815877,0.000481654,0.002330299,0.006233302,0.003328626,0.009067827,0.00649618,0.003677906,0.002188522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01014401,"about_ca_system_score_gemma":0.02749845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006970364,"about_ca_topic_score_gemma":0.01219321,"domain_scores_codex":[0.9749357,0.01922545,0.001689429,0.0009363536,0.002484552,0.0007285753],"domain_scores_gemma":[0.9632825,0.02538972,0.002342761,0.001659287,0.005623609,0.001702094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000169708,0.0004143195,0.01343254,0.03342291,0.0005864681,0.0004864993,0.02056859,0.004335539,0.001278807,0.2654804,0.1090058,0.5508185],"study_design_scores_gemma":[0.0002362466,0.0007024547,0.01534632,0.03497951,0.0008901897,0.0005637897,0.03808649,0.005322527,0.001823753,0.2219839,0.6799144,0.0001504753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0491412,0.07869755,0.1638951,0.359997,0.004919679,0.005208441,0.003215112,0.0016407,0.3332851],"genre_scores_gemma":[0.4950955,0.05998015,0.3919528,0.0317735,0.001024422,0.00627314,0.00174228,0.0001944715,0.01196369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02592212,"threshold_uncertainty_score":0.1370909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02366013080473248,"score_gpt":0.3095115066079314,"score_spread":0.2858513758031989,"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."}}