{"id":"W7108202335","doi":"10.25345/c53x8402d","title":"MassIVE MSV000100065 - Mammary gland epithelial organoids","year":2025,"lang":"en","type":"dataset","venue":"California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Organoid; Mammary gland; Epithelium; TSG101","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","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.000100186,0.001530238,0.001371812,0.0009938724,0.0002296657,0.002834724,0.003054138,0.001342648,0.003217472],"category_scores_gemma":[0.000424473,0.001423668,0.0006237135,0.001485707,0.0003171219,0.003616631,0.003130078,0.001557063,0.07350255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001877333,"about_ca_system_score_gemma":0.001943951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005425375,"about_ca_topic_score_gemma":9.709652e-7,"domain_scores_codex":[0.9947789,0.0001628657,0.001189834,0.001627073,0.0009534651,0.001287805],"domain_scores_gemma":[0.9958205,0.0003731501,0.0005790904,0.002391576,0.00009743101,0.0007382431],"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":[0.0002817728,0.0003096994,0.0001057916,0.0006554524,0.0003306927,0.001415747,0.000002246479,0.000002509738,0.00001752728,0.00007094858,0.9959536,0.0008539962],"study_design_scores_gemma":[0.001044315,0.00008765165,0.00001184563,0.0004428113,0.000193859,0.00007426627,0.000007634771,0.00001662958,0.0005560318,0.00116058,0.9948928,0.001511616],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003584102,0.001154538,0.00001436251,0.0005761769,0.001016458,0.0008880419,0.9808825,0.001215901,0.01421624],"genre_scores_gemma":[0.00002352424,0.0002816026,0.00009867096,0.001579267,0.001464932,0.0001263737,0.98588,0.0002860916,0.01025956],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07028508,"threshold_uncertainty_score":0.9999538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005202323868113371,"score_gpt":0.2016343011839636,"score_spread":0.1964319773158502,"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."}}