{"id":"W6892724024","doi":"10.5281/zenodo.11885510","title":"Chest x ray trainer pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trainer; Chest pain; Chest radiograph; Radiography; Thoracic diseases; Computed tomography","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005816934,0.00123233,0.001320194,0.002412475,0.0008845124,0.002987958,0.001252555,0.002659592,0.9205921],"category_scores_gemma":[0.00446114,0.0007237659,0.0008818851,0.001303994,0.000299344,0.002710758,0.002122315,0.002788568,0.8569564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005662908,"about_ca_system_score_gemma":0.0005150244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001524432,"about_ca_topic_score_gemma":0.001721392,"domain_scores_codex":[0.9994556,0.00005372462,0.00003818517,0.00007784019,0.0002885312,0.00008609642],"domain_scores_gemma":[0.996549,0.0005724456,0.00019002,0.0004292556,0.001465611,0.0007937459],"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":[0.00003145212,0.00003057784,0.0001010269,0.00005992419,0.000002005414,0.00008448902,0.000004900673,0.00003716994,0.000180174,0.0001826523,0.9708375,0.02844809],"study_design_scores_gemma":[0.00004190314,0.00005226242,0.001021853,0.0001378935,0.00000280064,0.0005276322,0.00001911889,0.0001318163,0.0002741091,0.0004052076,0.9973713,0.0000140402],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008667242,0.001282419,0.001918732,0.003833361,0.003433726,0.0005429503,0.01580781,0.01163562,0.9606787],"genre_scores_gemma":[0.00342395,0.001095298,0.001681217,0.00220494,0.001475685,0.0001884609,0.009410806,0.002116292,0.9784034],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07940793,"threshold_uncertainty_score":0.1132657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03414288350162548,"score_gpt":0.2511182785512596,"score_spread":0.2169753950496341,"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."}}