{"id":"W4409159437","doi":"10.1089/ipm.12.02.03","title":"Knocking Down Barriers to Precision Oncology with Companion Diagnostics","year":2025,"lang":"en","type":"article","venue":"Inside Precision Medicine","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Precision oncology; Medical physics; Medicine; Internal medicine; Oncology; Cancer","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004563725,0.0002407977,0.0003693183,0.000213973,0.0001618357,0.00002451152,0.0003130142,0.0002054113,0.0001080053],"category_scores_gemma":[0.004456604,0.0001852124,0.00004996183,0.0003443226,0.0001342093,0.000004512963,0.0003279008,0.0001778645,0.0000189882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001060762,"about_ca_system_score_gemma":0.0004365307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001131295,"about_ca_topic_score_gemma":0.0003734597,"domain_scores_codex":[0.9983281,0.00008471824,0.0004388673,0.0005601336,0.0002770362,0.000311164],"domain_scores_gemma":[0.9980561,0.0005432863,0.0001121288,0.0006108502,0.0002932002,0.0003844771],"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":[0.00230326,0.0001819733,0.02984644,0.00005796794,0.0001897032,0.0000856573,0.0009336379,0.00592069,0.184707,0.001197547,0.397019,0.3775572],"study_design_scores_gemma":[0.002755098,0.002621221,0.01178332,0.0006037765,0.00009742995,0.00003078826,0.0004806419,0.0002018556,0.03631004,0.000993315,0.9437913,0.0003312564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9123377,0.004446445,0.05616949,0.007137305,0.001961106,0.001006331,0.00003379523,0.00004418841,0.01686367],"genre_scores_gemma":[0.9853379,0.002340645,0.003811196,0.007329017,0.0005198903,0.0000587958,0.00008750378,0.00002993761,0.0004851453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5467722,"threshold_uncertainty_score":0.7552743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01103564715734878,"score_gpt":0.3014312318579663,"score_spread":0.2903955847006175,"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."}}