{"id":"W4387407582","doi":"10.1016/j.esmoop.2023.102006","title":"157P PCM4EU academy: An educational program for precision oncology","year":2023,"lang":"en","type":"article","venue":"ESMO Open","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Cilag; Chugai Pharmaceutical; BeiGene; Eisai Canada; Centre Léon Bérard; Daiichi Sankyo Europe; Servier; Eisai; Basilea Pharmaceutica; Genentech; Institut Gustave-Roussy; PharmaMar; European Society for Medical Oncology; Pfizer; Incyte; Boston Pharmaceuticals; Clovis Oncology; Les Laboratories Pierre Fabre; Loxo Oncology; Astex Pharmaceuticals; Bayer HealthCare; Exelixis; Amgen; Celgene; Bristol-Myers Squibb; Eli Lilly and Company; AstraZeneca; Agios Pharmaceuticals","keywords":"Reimbursement; Oncology; Medical education; Portfolio; Clinical trial; Internal medicine; Medicine; Psychology; Health care; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003189713,0.0006674287,0.0003191966,0.001288105,0.003256713,0.002317408,0.0008395395,0.001368789,0.09558998],"category_scores_gemma":[0.003509377,0.0002530502,0.0007050386,0.0006220013,0.0007152417,0.001350756,0.006803384,0.002733309,0.03191398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001598376,"about_ca_system_score_gemma":0.00758059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007433561,"about_ca_topic_score_gemma":0.001724116,"domain_scores_codex":[0.9987526,0.0004470364,0.00003802713,0.00012043,0.0002675169,0.0003744705],"domain_scores_gemma":[0.9950501,0.0003624023,0.0001762496,0.0001629614,0.0004604453,0.003787767],"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":[0.0006210186,0.002841103,0.008163679,0.0008896843,0.0000237541,0.001178319,0.005634376,0.0004115363,0.005334488,0.01012265,0.5344963,0.4302831],"study_design_scores_gemma":[0.00007027954,0.0004743729,0.01366738,0.0001739933,0.000009772906,0.0004513317,0.002044306,0.0002978133,0.001144606,0.001409099,0.9802381,0.00001888745],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2006847,0.005258178,0.02890667,0.05869349,0.02218351,0.004999884,0.008097987,0.006103673,0.6650718],"genre_scores_gemma":[0.2600102,0.004192771,0.05136243,0.009769683,0.003593019,0.003761542,0.004176023,0.001166468,0.6619678],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09558998,"threshold_uncertainty_score":0.3197803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05007142131481863,"score_gpt":0.432178044634972,"score_spread":0.3821066233201534,"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."}}