{"id":"W6926887415","doi":"10.25828/sntw-6721","title":"Computer aided detection of Tuberculosis and Silicosis 2019-2021","year":2022,"lang":"en","type":"dataset","venue":"DataFirst","topic":"Crustacean biology and ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Tuberculosis; Silicosis; Computer-aided; Computer-aided diagnosis; Disease","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":[],"consensus_categories":[],"category_scores_codex":[0.001082731,0.002072515,0.001309319,0.002948891,0.0006465326,0.001312263,0.002602844,0.002756272,0.03426189],"category_scores_gemma":[0.004949115,0.0005438515,0.001994427,0.002534507,0.0004286683,0.0006340049,0.001505599,0.001339902,0.03284108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001108117,"about_ca_system_score_gemma":0.002192339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03357746,"about_ca_topic_score_gemma":0.06354707,"domain_scores_codex":[0.9992034,0.0001218326,0.0001000239,0.0002522405,0.0001742655,0.0001483028],"domain_scores_gemma":[0.9983181,0.0005391138,0.0001633877,0.0004116049,0.0003582072,0.000209588],"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":[0.0004814654,0.0001170315,0.007752537,0.001983065,0.000223593,0.0001732969,0.00005227296,0.002133989,0.001199684,0.00071855,0.9739007,0.0112638],"study_design_scores_gemma":[0.001186538,0.0001207538,0.0306322,0.0007527723,0.0003171651,0.0004456897,0.0001810116,0.005914748,0.003238267,0.003203969,0.9539068,0.00009998877],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007499403,0.0001107279,0.0001415046,0.00007302473,0.00002618434,0.00001521556,0.9979014,0.0005752465,0.0004066454],"genre_scores_gemma":[0.001220427,0.00005186622,0.0005156126,0.00003910116,0.000005097615,0.00003780508,0.9977817,0.00004263307,0.0003057439],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03426189,"threshold_uncertainty_score":0.1146174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007076207630649193,"score_gpt":0.2101527913527851,"score_spread":0.2030765837221359,"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."}}