{"id":"W2324247129","doi":"10.1158/0008-5472.sabcs-101","title":"Identifying stromal-epithelial interactions in the mammary gland through genome-wide siRNA screening.","year":2009,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Occupational Cancer Research Centre","funders":"","keywords":"Stromal cell; Biology; Telomerase; Telomerase reverse transcriptase; Myoepithelial cell; Mammary gland; Cell culture; Cancer research; Fibroblast; Progenitor cell; Cell biology; Cell; Cancer; Molecular biology; Immunology; Stem cell; Breast cancer; Genetics; Gene","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":[0.0006414335,0.0006438061,0.0007562263,0.0006269033,0.0003314827,0.0006230518,0.00045886,0.0005126787,0.002070114],"category_scores_gemma":[0.0002631382,0.0002922308,0.0005065075,0.0005864414,0.000293086,0.0001473172,0.0003260865,0.0005665908,0.00111402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004884972,"about_ca_system_score_gemma":0.000423934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001422545,"about_ca_topic_score_gemma":0.007148401,"domain_scores_codex":[0.9996157,0.00003879067,0.00003197218,0.00008652337,0.0001765274,0.00005062935],"domain_scores_gemma":[0.9998047,0.00005664826,0.00005101099,0.00002125124,0.00004299429,0.00002336456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005069537,0.00001883711,0.0002426717,0.00009902959,0.00002118293,0.00004391898,0.00001323015,0.0001077923,0.9956807,0.00009808769,0.0003727682,0.003251116],"study_design_scores_gemma":[0.00005963885,0.0003368806,0.012595,0.00002400219,0.0002330697,0.0006310546,0.00005996318,0.00352396,0.9602995,0.000105075,0.02210959,0.00002220043],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8485946,0.02087941,0.07253587,0.00125149,0.0003455318,0.001238859,0.03248711,0.003225272,0.01944178],"genre_scores_gemma":[0.8817362,0.009056379,0.05698136,0.000891863,0.0000473418,0.0009915199,0.03084139,0.000502532,0.01895147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002070114,"threshold_uncertainty_score":0.006925166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1778907984579819,"score_gpt":0.4550125657698554,"score_spread":0.2771217673118734,"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."}}