{"id":"W4399900269","doi":"10.59400/cai.v2i1.450","title":"Medical image classification using a quantified hazard ratio and a multilayer fuzzy approach","year":2024,"lang":"en","type":"article","venue":"Computing and artificial intelligence.","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Hazard; Abnormality; Hazard ratio; Computer science; Proportional hazards model; Artificial intelligence; Data mining; Medicine; Statistics; Mathematics; Confidence interval","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008221562,0.0001905254,0.0002911527,0.0002102069,0.000243024,0.00032292,0.00007693423,0.0001583585,0.00003473179],"category_scores_gemma":[0.0005910061,0.0001688949,0.00006888572,0.0003506172,0.0003124761,0.00009258001,0.00009959711,0.0003652657,0.00002937312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005952041,"about_ca_system_score_gemma":0.0002235172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001003131,"about_ca_topic_score_gemma":0.00001031363,"domain_scores_codex":[0.9982247,0.0000784508,0.0004766808,0.0006058273,0.0003417895,0.0002725342],"domain_scores_gemma":[0.998945,0.0004733121,0.00005807506,0.000205375,0.00009712329,0.0002211135],"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":[0.0001514121,0.0005503236,0.001343526,0.001421753,0.000155163,0.0002251222,0.007153847,0.0006181967,0.08439599,0.0320818,0.001798474,0.8701044],"study_design_scores_gemma":[0.00005671697,0.0000590787,0.0005008681,0.0006202002,0.0000859521,0.0001306873,0.0007318797,0.987949,0.007595973,0.001064859,0.001025469,0.0001793102],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.606856,0.001209528,0.3817832,0.00880075,0.0005061475,0.000346734,0.000002886366,0.0002869681,0.0002077579],"genre_scores_gemma":[0.9892232,0.00008129385,0.008928245,0.00113196,0.0005546562,0.000005546946,0.00001207071,0.00002986439,0.00003320362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9873308,"threshold_uncertainty_score":0.6887332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1436035631930876,"score_gpt":0.4037952085657398,"score_spread":0.2601916453726522,"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."}}