{"id":"W4236577310","doi":"10.3804/jjabcs.15.248","title":"","year":2006,"lang":"ja","type":"article","venue":"Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening)","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"","keywords":"Business","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":[0.000882318,0.0003397532,0.0002356799,0.0009059237,0.001382137,0.001712761,0.0004399094,0.0007903072,0.1638711],"category_scores_gemma":[0.002449024,0.0001576538,0.0002699953,0.0007647962,0.000544179,0.0006618564,0.000797189,0.0009419655,0.07070854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001444258,"about_ca_system_score_gemma":0.003083358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01040074,"about_ca_topic_score_gemma":0.02153332,"domain_scores_codex":[0.9994048,0.00009939582,0.00004063239,0.0001117705,0.0002537517,0.00008970864],"domain_scores_gemma":[0.9990311,0.00008517241,0.0000541012,0.00009760558,0.0005451926,0.0001869077],"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":[0.0001690125,0.0002057409,0.01139515,0.0001480349,0.0000206444,0.0002603406,0.0005070768,0.0001506555,0.002484846,0.04815942,0.5381961,0.398303],"study_design_scores_gemma":[0.00002397389,0.00004908027,0.01065415,0.00007042952,0.00001117646,0.0002843935,0.0003584352,0.0001142719,0.001165779,0.003776174,0.983482,0.00001012773],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01323157,0.002345789,0.003780436,0.01238922,0.002717486,0.0002851899,0.003316637,0.0003491185,0.9615844],"genre_scores_gemma":[0.05075313,0.002630013,0.005359636,0.003779423,0.0006106329,0.0002222507,0.003917231,0.00007592933,0.9326518],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8361289,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02612861811848249,"score_gpt":0.2958868375251879,"score_spread":0.2697582194067054,"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."}}