{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005528422,0.003683654,0.001896005,0.003608316,0.001029731,0.002373136,0.003185428,0.003476616,0.08798056],"category_scores_gemma":[0.002978004,0.0008346253,0.002293137,0.004614754,0.0005881338,0.001227832,0.002299306,0.001770553,0.1284415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001527998,"about_ca_system_score_gemma":0.00248406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04338001,"about_ca_topic_score_gemma":0.09374645,"domain_scores_codex":[0.999079,0.0001076816,0.00006174725,0.0002748241,0.0002599725,0.0002168],"domain_scores_gemma":[0.9988556,0.0002793646,0.00007112112,0.0003200354,0.0002889884,0.0001849864],"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":[0.0001296022,0.00003328384,0.0006474581,0.0006723282,0.00003903585,0.00004721289,0.00002185997,0.0007216043,0.0003879682,0.0002971613,0.9918429,0.005159546],"study_design_scores_gemma":[0.0005082306,0.00006681294,0.00631868,0.0005097378,0.00009825484,0.0002527079,0.0001699225,0.003784974,0.002219395,0.002610487,0.9833914,0.00006939136],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005251004,0.0002755403,0.0001793078,0.00009134506,0.00005956909,0.00001885986,0.995428,0.001920329,0.001501909],"genre_scores_gemma":[0.0006536212,0.00008814483,0.000391712,0.00004603655,0.000007238543,0.00003034166,0.9977666,0.0001000377,0.0009162872],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08798056,"threshold_uncertainty_score":0.2943243,"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."}}