{"id":"W4306404843","doi":"10.1016/j.annonc.2022.09.138","title":"137P Combining protein and mRNA spatial profiles to identify distinct cell population in metaplastic breast cancer","year":2022,"lang":"en","type":"article","venue":"Annals of Oncology","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre; Jewish General Hospital; Montreal General Hospital; University of Toronto; McGill University","funders":"","keywords":"Medicine; Breast cancer; Messenger RNA; Population; Oncology; Cancer research; Pathology; Internal medicine; Computational biology; Cancer; Genetics; Gene; Environmental health; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002724789,0.0001526341,0.0002175799,0.0009140334,0.0001999181,0.0004384935,0.0001794049,0.0002780034,0.002002927],"category_scores_gemma":[0.0003178144,0.00022366,0.0002042405,0.0006500265,0.0002735482,0.0002550047,0.000285291,0.0004385835,0.0004992782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002311754,"about_ca_system_score_gemma":0.0002114946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001025715,"about_ca_topic_score_gemma":0.001448106,"domain_scores_codex":[0.999873,0.00002081569,0.000007495843,0.00002991174,0.00003478991,0.00003386727],"domain_scores_gemma":[0.9998857,0.00004345063,0.00001414677,0.00001061046,0.00002660124,0.00001954199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004057676,0.00002351205,0.007323438,0.00005499549,0.00001698674,0.00009562513,0.00004142878,0.0001031972,0.9849911,0.0001661333,0.00008505522,0.006692658],"study_design_scores_gemma":[0.0000386621,0.0006543091,0.2367146,0.00001688674,0.0001574746,0.002161707,0.0005600877,0.004051035,0.7488708,0.0006718774,0.00608372,0.00001879004],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858184,0.002332926,0.007711687,0.000146342,0.00002853249,0.00003095038,0.0006974689,0.00008532392,0.003148269],"genre_scores_gemma":[0.9880884,0.0009891352,0.006561192,0.00009314499,0.00002177662,0.00007129731,0.0008563126,0.00003807233,0.003280599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002002927,"threshold_uncertainty_score":0.006700456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02963846217529813,"score_gpt":0.3514773056874485,"score_spread":0.3218388435121504,"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."}}