{"id":"W2320073170","doi":"10.1055/s-0033-1343871","title":"Krebsfrüherkennung: Immer mehr, immer genauer","year":2013,"lang":"de","type":"article","venue":"Lege artis - Das Magazin zur ärztlichen Weiterbildung","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gynecology; Humanities; Art; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001290236,0.001706266,0.001968266,0.0005671098,0.0006472826,0.0008574077,0.001365915,0.0009935953,0.01719322],"category_scores_gemma":[0.0004646594,0.00160865,0.001001619,0.001479229,0.0006193612,0.002381536,0.0009023421,0.001994003,0.06898701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000783763,"about_ca_system_score_gemma":0.0005060222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004732747,"about_ca_topic_score_gemma":0.0002477297,"domain_scores_codex":[0.9888906,0.0005795545,0.00244034,0.002415692,0.002175691,0.003498045],"domain_scores_gemma":[0.9931716,0.0003934999,0.0008304089,0.002819925,0.0009193852,0.001865161],"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":[0.0007763201,0.0009296529,0.2296504,0.0008022779,0.003004556,0.001680506,0.006623374,0.00008754508,0.04963066,0.001704413,0.6607309,0.04437937],"study_design_scores_gemma":[0.006499116,0.001516124,0.2380704,0.002480422,0.003194151,0.0003335557,0.002023433,0.004570199,0.01173326,0.001127381,0.7250514,0.003400532],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7535946,0.1514967,0.001616039,0.02100176,0.007240011,0.004808038,0.0002223543,0.0008058317,0.05921469],"genre_scores_gemma":[0.9381522,0.003263423,0.003557227,0.02030783,0.006406238,0.0004783136,0.0003151406,0.0004487041,0.02707095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1845576,"threshold_uncertainty_score":0.9995684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04048062320190499,"score_gpt":0.3241962600572128,"score_spread":0.2837156368553078,"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."}}