{"id":"W4382989916","doi":"10.3390/books978-3-0365-7908-5","title":"Cancer Prevention with Molecular Target Therapies 3.0","year":2023,"lang":"en","type":"book","venue":"","topic":"Advanced Breast Cancer Therapies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutsche Gesellschaft für Urologie; Astellas Pharma; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Canadian Dermatology Foundation; Japan Society for the Promotion of Science; Ministerstvo Školství, Mládeže a Tělovýchovy; AstraZeneca; Bristol-Myers Squibb; Universität Heidelberg; Pfizer; National Science Foundation","keywords":"Cancer; Medicine; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[],"category_scores_codex":[0.00006390835,0.0003758057,0.0005590155,0.0001599882,0.00004066136,0.00001491361,0.0001049919,0.000217354,0.002225982],"category_scores_gemma":[0.000005012423,0.0002668198,0.0001547312,0.0001245184,0.0001264256,0.00006515127,0.00003392212,0.0003448633,0.0001723965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003753818,"about_ca_system_score_gemma":0.0009359653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002350197,"about_ca_topic_score_gemma":0.00005913718,"domain_scores_codex":[0.9985588,0.00001716126,0.0002177793,0.0004449225,0.0004702425,0.0002911239],"domain_scores_gemma":[0.9991089,0.00002496771,0.0001568011,0.0004406705,0.0001699767,0.00009874337],"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":[0.009442857,0.0007668126,0.002224133,0.006876189,0.03035703,0.003646625,0.003779448,0.001512571,0.0152899,0.05878566,0.2005714,0.6667474],"study_design_scores_gemma":[0.002646007,0.0007126776,0.000503753,0.002648601,0.0005595208,0.00008504587,0.0001221284,0.00001722455,0.002288803,0.03770018,0.9520168,0.0006993168],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007246056,0.03274699,0.03014175,0.005279535,0.0008452553,0.003418385,0.0001558063,0.002116747,0.9245709],"genre_scores_gemma":[0.0002403592,0.0005241992,0.005160229,0.0007842314,0.0004128557,0.0002828585,0.0002226892,0.0002453696,0.9921272],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7514454,"threshold_uncertainty_score":0.9999784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01507194981185289,"score_gpt":0.2978450724852088,"score_spread":0.2827731226733559,"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."}}