{"id":"W7108200833","doi":"10.25345/c5vd6pj42","title":"MassIVE MSV000100067 - Mouse 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":[0.0001061229,0.001652145,0.001464048,0.001072771,0.0002454674,0.003067949,0.003176212,0.001414465,0.002181329],"category_scores_gemma":[0.0004095024,0.001544119,0.0006520926,0.001408057,0.0004396909,0.003627531,0.003269712,0.001652303,0.05049904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002173824,"about_ca_system_score_gemma":0.00187574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001286646,"about_ca_topic_score_gemma":0.000001963177,"domain_scores_codex":[0.9944282,0.0001816696,0.001270939,0.001731098,0.001015346,0.001372818],"domain_scores_gemma":[0.9952105,0.0003829917,0.00062193,0.002874928,0.00009404371,0.0008156511],"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":[0.0003477057,0.0003970338,0.0001709041,0.0005812498,0.0003646657,0.001212707,0.000003061389,0.000004063958,0.00003592482,0.00004992964,0.9961168,0.0007159535],"study_design_scores_gemma":[0.001210651,0.00009444816,0.000008328178,0.0003174266,0.0001873303,0.00006252708,0.000010561,0.00001360213,0.001079624,0.0009457018,0.9944356,0.001634165],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001181016,0.0006049451,0.00002147841,0.0004755082,0.0007621857,0.0009340058,0.9871725,0.00146008,0.008451232],"genre_scores_gemma":[0.00002161018,0.0002473585,0.0001540666,0.001629102,0.001279593,0.0001330892,0.9805263,0.0003491624,0.01565967],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04831771,"threshold_uncertainty_score":0.9998819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005288856531710141,"score_gpt":0.1999160899022478,"score_spread":0.1946272333705376,"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."}}