{"id":"W4403047249","doi":"10.1097/01.eem.0001069216.00162.06","title":"The Dazzling Future of POCUS","year":2024,"lang":"en","type":"article","venue":"Emergency Medicine News","topic":"Conferences and Exhibitions Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.02093579,0.001488738,0.002103505,0.003859556,0.002253639,0.008974124,0.003639322,0.01570609,0.03799697],"category_scores_gemma":[0.08017121,0.0008883,0.001857436,0.001857442,0.01021977,0.02034604,0.003094969,0.02211937,0.01212101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005044966,"about_ca_system_score_gemma":0.006937097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007002873,"about_ca_topic_score_gemma":0.00686751,"domain_scores_codex":[0.9864568,0.004960575,0.001003325,0.001832401,0.004858893,0.0008880815],"domain_scores_gemma":[0.9009986,0.05737235,0.003102542,0.004223956,0.02527309,0.009029476],"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":[0.0002486607,0.00008778133,0.001384377,0.001284626,0.00006897754,0.0002580946,0.0003424161,0.0002673118,0.000256421,0.0321682,0.7198846,0.2437486],"study_design_scores_gemma":[0.00007981651,0.0001490545,0.001157823,0.003472369,0.00005405025,0.001312407,0.0007060583,0.0004932724,0.000207453,0.03573921,0.9565077,0.0001208683],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0008194766,0.2275091,0.003574958,0.6979982,0.05183663,0.0000256655,0.0002712762,0.0007642566,0.01720047],"genre_scores_gemma":[0.0365348,0.2579186,0.01338628,0.4782867,0.1876493,0.0001547355,0.0005500131,0.0007778147,0.02474173],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03799697,"threshold_uncertainty_score":0.1271126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03924337890679978,"score_gpt":0.366755491435425,"score_spread":0.3275121125286252,"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."}}