{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006682239,0.003547926,0.001932713,0.003607706,0.0009808841,0.002194196,0.003313518,0.003465282,0.08303088],"category_scores_gemma":[0.002923218,0.0009095619,0.002120427,0.004484457,0.0005664501,0.001088203,0.002290461,0.001837801,0.1145705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001402679,"about_ca_system_score_gemma":0.002387054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03272246,"about_ca_topic_score_gemma":0.06872088,"domain_scores_codex":[0.9991009,0.00009878037,0.0000655435,0.000260367,0.0002784288,0.0001959604],"domain_scores_gemma":[0.9987823,0.0003098578,0.00008093276,0.0003534064,0.0002820981,0.0001913817],"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":[0.0001665531,0.00004023185,0.000613525,0.0007306495,0.00004860136,0.00005417557,0.00002524584,0.0007570993,0.0008137627,0.0003587108,0.9913345,0.005056842],"study_design_scores_gemma":[0.0006883943,0.0000845485,0.006158181,0.0004553401,0.0001233489,0.0002740221,0.0001505754,0.003800625,0.003834077,0.002848825,0.9815005,0.0000815098],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005012598,0.0002017464,0.0002177141,0.00008188544,0.00005137564,0.00001823847,0.9955443,0.002275625,0.001108008],"genre_scores_gemma":[0.000526174,0.00007188795,0.0004088338,0.00004130493,0.000005419723,0.00003569752,0.9980751,0.0001299552,0.0007055529],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08303088,"threshold_uncertainty_score":0.277766,"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."}}