{"id":"W7111079943","doi":"10.25345/c5xs5jw6w","title":"MassIVE MSV000100167 - BAD3SA BioID in 2D and 3D MCF10A cell culture","year":2025,"lang":"en","type":"dataset","venue":"California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Cell culture; Cell; Human cell; Fibroblast","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","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00008675875,0.001278723,0.001171855,0.001001997,0.0001249437,0.001728784,0.001260446,0.001282413,0.0007538236],"category_scores_gemma":[0.000174871,0.001140432,0.0002710704,0.00131335,0.0004204713,0.00240613,0.001906322,0.00164096,0.00971288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001459139,"about_ca_system_score_gemma":0.0006541449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001398679,"about_ca_topic_score_gemma":0.000004715689,"domain_scores_codex":[0.9957591,0.0001360255,0.0009617542,0.001513983,0.000593903,0.001035176],"domain_scores_gemma":[0.9974121,0.0002190776,0.0004441969,0.001328765,0.0000406913,0.0005551176],"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":[0.0001780819,0.0003417332,0.001093408,0.0009449468,0.0000564162,0.000597898,0.00001301871,0.00001084803,0.000009491147,0.000006095016,0.9963675,0.0003805854],"study_design_scores_gemma":[0.001104146,0.00007813916,0.00003221985,0.0006705433,0.00009818462,0.00002876197,0.00006874243,0.00007879539,0.0001240667,0.0003739244,0.9961134,0.001229054],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001578609,0.002904651,0.000001669971,0.0001630341,0.0002876197,0.0008531055,0.9723481,0.000381109,0.02290287],"genre_scores_gemma":[0.0001214571,0.0006319875,0.0001660471,0.0009600827,0.0003686893,0.0001079302,0.9924499,0.0001877154,0.00500614],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02010187,"threshold_uncertainty_score":0.9999965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004252659332585344,"score_gpt":0.1953469405815531,"score_spread":0.1910942812489677,"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."}}