{"id":"W1508295612","doi":"","title":"Resources for Precision Analysis of Human Breast Cancer","year":2000,"lang":"en","type":"article","venue":"Defense Technical Information Center (DTIC)","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breast cancer; Translational research; Disease; Relevance (law); Clinical trial; Tissue bank; Medicine; Basic research; Human breast; Pathology; Clinical Practice; Cancer; Medical physics; Computer science; Internal medicine; Family medicine; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006192007,0.000695185,0.00136505,0.005435343,0.001287255,0.002157904,0.001657352,0.0007665039,0.03257031],"category_scores_gemma":[0.01258222,0.0006799631,0.0009366464,0.004489395,0.0004167086,0.0007192584,0.003438797,0.0009320927,0.02435783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001253898,"about_ca_system_score_gemma":0.004552502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009130615,"about_ca_topic_score_gemma":0.01432907,"domain_scores_codex":[0.9964804,0.0008958526,0.0003681907,0.0005180129,0.001488205,0.0002493339],"domain_scores_gemma":[0.9936242,0.001333941,0.0003011232,0.002626339,0.001612583,0.0005018358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001841323,0.0002009028,0.01171315,0.001489597,0.000358711,0.0007009309,0.000362005,0.003200814,0.07466738,0.0119178,0.3502758,0.5432715],"study_design_scores_gemma":[0.0002692483,0.0001590593,0.01599546,0.0004981474,0.0002591332,0.0008743973,0.0001694028,0.002266849,0.03322099,0.01256149,0.9336611,0.00006473123],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.03329291,0.02521805,0.3249714,0.008334713,0.001790348,0.002871407,0.4863827,0.02517825,0.0919602],"genre_scores_gemma":[0.07412625,0.0113682,0.3931676,0.003081866,0.0006367853,0.005136807,0.4896193,0.003323517,0.01953971],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03257031,"threshold_uncertainty_score":0.1089585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01021986555401451,"score_gpt":0.275036114187768,"score_spread":0.2648162486337535,"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."}}