{"id":"W6977368457","doi":"10.6084/m9.figshare.27184953","title":"Additional file 5 of Nuts and bolts of lung ultrasound: utility, scanning techniques, protocols, and findings in common pathologies","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Social and Educational Sciences","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Nuts and bolts; Lung; Computed tomography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002197803,0.0009818063,0.00144373,0.003366477,0.0007866357,0.001576688,0.001744586,0.001603091,0.8955985],"category_scores_gemma":[0.05612617,0.000601959,0.001301766,0.003804138,0.0002847997,0.002316612,0.001126856,0.0009503646,0.1370037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001061014,"about_ca_system_score_gemma":0.001883391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007593897,"about_ca_topic_score_gemma":0.01026484,"domain_scores_codex":[0.9986843,0.0002574684,0.0003751105,0.0002718835,0.0002291581,0.0001819691],"domain_scores_gemma":[0.9384449,0.04922701,0.004097491,0.002429341,0.004908021,0.0008931611],"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":[0.000776966,0.0001249772,0.004345349,0.005108527,0.00008639203,0.0001192319,0.00009304326,0.0003227802,0.00007709373,0.000938151,0.9708744,0.01713307],"study_design_scores_gemma":[0.01077418,0.0004692516,0.08883522,0.02058825,0.0006156717,0.002478344,0.001221824,0.002155721,0.0009218059,0.01974598,0.8518465,0.0003472516],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003022804,0.0000584646,0.0002457045,0.0001886278,0.00004861278,0.0001494564,0.9973831,0.0001985344,0.001425227],"genre_scores_gemma":[0.02478613,0.0006124632,0.006515606,0.002291596,0.0005817398,0.004078282,0.9359765,0.001324061,0.02383359],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8955985,"threshold_uncertainty_score":0.1489161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05047924621514277,"score_gpt":0.3650741403923849,"score_spread":0.3145948941772421,"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."}}