{"id":"W4321371142","doi":"10.3390/curroncol30020191","title":"Molecular Profile and Matched Targeted Therapy for Advanced Breast Cancer Patients","year":2023,"lang":"en","type":"article","venue":"Current Oncology","topic":"Advanced Breast Cancer Therapies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Internal medicine; Breast cancer; Metastatic breast cancer; Oncology; Cancer; Targeted therapy; Clinical trial; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007921708,0.0001825071,0.0003810292,0.0001097805,0.00006502208,0.000005576822,0.00007091775,0.00008861309,0.0001113339],"category_scores_gemma":[0.00003152938,0.0001547485,0.00006841148,0.0002571976,0.000106312,0.00006911895,0.00004147681,0.0001390778,0.00001755911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001893494,"about_ca_system_score_gemma":0.0001595522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004497409,"about_ca_topic_score_gemma":0.000002941976,"domain_scores_codex":[0.9988759,0.00003414004,0.0002121657,0.0003548521,0.0001410906,0.0003818102],"domain_scores_gemma":[0.99928,0.00006535476,0.0001096033,0.0001676792,0.000246703,0.0001306735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002139327,0.0004008249,0.03986487,0.0001630464,0.0001037399,0.000006038829,0.0004920191,0.0000180796,0.02566969,0.00007736985,0.0009818387,0.9300832],"study_design_scores_gemma":[0.03566443,0.002369013,0.5847144,0.0002795163,0.0001340253,0.00004208804,0.0004571905,0.0009319434,0.01904471,0.001526167,0.3542264,0.0006101467],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897518,0.004405351,0.0003213691,0.002356716,0.001037297,0.001591974,0.0002794023,0.0001970011,0.00005908649],"genre_scores_gemma":[0.9941512,0.001543526,0.0009671552,0.0005183743,0.0002479313,0.001977923,0.0003720227,0.00007129471,0.0001505285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.929473,"threshold_uncertainty_score":0.6310461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04298048746458732,"score_gpt":0.3983618443786761,"score_spread":0.3553813569140888,"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."}}