{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001886526,0.0001101619,0.0002599581,0.0008139295,0.0002436249,0.0003473638,0.00015433,0.0002516813,0.003402239],"category_scores_gemma":[0.0007820212,0.00006445696,0.0001972587,0.0009220805,0.0000736381,0.0002481884,0.0002253635,0.0002564046,0.0007703552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003070403,"about_ca_system_score_gemma":0.0002011491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006777585,"about_ca_topic_score_gemma":0.0008506472,"domain_scores_codex":[0.9998119,0.00003381795,0.00002662977,0.00004788419,0.00003990235,0.0000398139],"domain_scores_gemma":[0.9997503,0.0000402195,0.0001111462,0.00001265649,0.00003049385,0.00005506127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000718869,0.00009499515,0.979161,0.00005052618,0.00002726026,0.0004872282,0.00005761451,0.0001383795,0.001858756,0.00006947237,0.0009023089,0.01643362],"study_design_scores_gemma":[0.00002185091,0.0003523595,0.9916958,0.00001905905,0.00004770475,0.00292134,0.000128712,0.0005108428,0.000636714,0.0001507793,0.003508647,0.000006146369],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933417,0.001831863,0.0003519546,0.0002005201,0.00001789462,0.00004616648,0.001534268,0.00001474052,0.002660931],"genre_scores_gemma":[0.9965736,0.0005350804,0.0004376154,0.0001469862,0.00004110442,0.00004255332,0.00162146,0.000006270386,0.0005954859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003402239,"threshold_uncertainty_score":0.01138163,"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."}}