{"id":"W2899946591","doi":"10.1016/j.trecan.2018.10.009","title":"Regulators of Asymmetric Cell Division in Breast Cancer","year":2018,"lang":"en","type":"letter","venue":"Trends in cancer","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University and Génome Québec Innovation Centre","funders":"","keywords":"Breast cancer; Cell division; Division (mathematics); Asymmetric cell division; Cell; Cancer research; Computational biology; Cell biology; Cancer; Biology; Chemistry; Genetics; Mathematics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002269563,0.0004255053,0.00113433,0.001676647,0.00001858503,0.00001048769,0.0002335152,0.0006732999,0.005736154],"category_scores_gemma":[0.00000737922,0.0003657824,0.0002705115,0.002630578,0.0001514617,0.00005911294,0.0000933581,0.001231112,0.00001336383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001075223,"about_ca_system_score_gemma":0.0003229758,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01840952,"about_ca_topic_score_gemma":0.00296482,"domain_scores_codex":[0.9972574,0.00006759362,0.0007006571,0.0006950877,0.0006872103,0.000592095],"domain_scores_gemma":[0.9986953,0.00005953522,0.0003722445,0.000651226,0.0001291691,0.00009256114],"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":[0.0001196666,0.0001101333,0.0311913,0.0006276609,0.00005280832,0.0001098605,0.0001305768,0.00001667522,0.0001011051,5.442479e-7,0.7305424,0.2369972],"study_design_scores_gemma":[0.002979351,0.0001358768,0.1380992,0.001811742,0.0002752483,0.00001184795,0.00001555748,0.00002756829,0.00238989,0.00001159637,0.8537972,0.0004449621],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1655173,0.05243345,0.00001208196,0.7178972,0.008328656,0.001181132,0.004334813,0.0001232774,0.05017206],"genre_scores_gemma":[0.5982043,0.02139397,0.0005369201,0.2953106,0.01546628,0.0007150918,0.0007987624,0.0005339311,0.06704016],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.432687,"threshold_uncertainty_score":0.9998794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02845863606606704,"score_gpt":0.3281830107256969,"score_spread":0.2997243746596299,"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."}}