{"id":"W4411660132","doi":"10.51847/h24nbtt4r2","title":"10.51847/H24nBtT4R2","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breast cancer; Medicine; Cancer; Radiology; Oncology; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001694723,0.00009808357,0.0001838058,0.0000626944,0.00005120644,0.00001918494,0.00008810985,0.00004185751,0.9905328],"category_scores_gemma":[0.0001295283,0.00008368838,0.00005795726,0.0001464889,0.00003643246,0.00003066096,0.00001886624,0.0002017287,0.9532721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002695405,"about_ca_system_score_gemma":0.00003089305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001917682,"about_ca_topic_score_gemma":1.2689e-8,"domain_scores_codex":[0.9992409,0.00002037463,0.000139991,0.0001829313,0.0001866708,0.0002291084],"domain_scores_gemma":[0.999423,0.00003445291,0.00001458344,0.000226513,0.0000256955,0.0002757102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000718163,0.00004118563,0.000004132803,0.000008680431,0.0000160141,0.00003712852,0.00001435113,0.00004138689,0.0002506671,0.000001488423,0.0624794,0.9370338],"study_design_scores_gemma":[0.0004818063,0.0001599948,0.0003202897,0.00004575527,0.00003129453,0.00008131719,5.514474e-7,0.002901947,0.00001837867,0.000002428399,0.99586,0.00009621277],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007156321,0.00007613065,0.000006803385,0.004278259,0.00000406227,0.0001421421,0.000001493678,0.0001370261,0.9881977],"genre_scores_gemma":[0.00131057,0.000001060138,0.0008152753,0.001046993,0.0002644997,0.000007118278,0.00001553303,0.00002580138,0.9965131],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9369375,"threshold_uncertainty_score":0.3412713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005227906670962044,"score_gpt":0.2248031216310054,"score_spread":0.2195752149600434,"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."}}