{"id":"W2464220504","doi":"10.1016/j.clon.2016.06.007","title":"It's PRIMETIME. Postoperative Avoidance of Radiotherapy: Biomarker Selection of Women at Very Low Risk of Local Recurrence","year":2016,"lang":"en","type":"editorial","venue":"Clinical Oncology","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":85,"is_retracted":false,"has_abstract":false,"ca_institutions":"Northwood","funders":"European Commission; Academy of Medical Sciences; Medical Research Council; National Institute for Health and Care Research; Cancer Research UK","keywords":"Medicine; Biomarker; Selection (genetic algorithm); Oncology; Radiation therapy; Internal medicine; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.01734292,0.003571137,0.006040741,0.003247122,0.002521067,0.008754177,0.003599296,0.01764972,0.004946547],"category_scores_gemma":[0.06110822,0.001585757,0.003196651,0.002234795,0.00292574,0.00478134,0.00191388,0.03388399,0.004277601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003530175,"about_ca_system_score_gemma":0.005095983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00294819,"about_ca_topic_score_gemma":0.008244886,"domain_scores_codex":[0.9922409,0.002237681,0.001580541,0.0008903864,0.002637798,0.0004127708],"domain_scores_gemma":[0.9383374,0.03269605,0.004099812,0.00141822,0.01825682,0.00519176],"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":[0.0000985325,0.00002530929,0.0001732137,0.0004612903,0.00007534035,0.00007946697,0.00001662251,0.00002791946,0.00004608262,0.0002566505,0.9875944,0.01114524],"study_design_scores_gemma":[0.0003584728,0.0001501156,0.002351856,0.00182712,0.0005279472,0.0005039977,0.0001168846,0.0002765288,0.0001878274,0.002249926,0.9913825,0.00006686556],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00005045766,0.01449399,0.0001272095,0.07098059,0.9136495,0.00001783332,0.00008159775,0.00002554664,0.000573289],"genre_scores_gemma":[0.0004835872,0.007492952,0.0001875487,0.05171679,0.9370583,0.00004004154,0.00004696374,0.00002359198,0.002950261],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01764972,"threshold_uncertainty_score":0.09171915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01538065348395654,"score_gpt":0.3634417864451207,"score_spread":0.3480611329611641,"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."}}