{"id":"W6963996299","doi":"10.25345/c5bn9xd42","title":"MassIVE MSV000093358 - BAD BioID in 3D MCF10A cell culture","year":2023,"lang":"en","type":"dataset","venue":"UC San Diego","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Cell culture; Cell; Fibroblast; Human cell","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","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004897092,0.001261773,0.00124667,0.00127504,0.0001610305,0.0002129719,0.00188591,0.001522703,0.003680915],"category_scores_gemma":[0.0004134139,0.00119276,0.0003615844,0.002156502,0.0002496822,0.0002171267,0.0008896007,0.002265032,0.3405432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006857572,"about_ca_system_score_gemma":0.0003084669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001803096,"about_ca_topic_score_gemma":0.0115547,"domain_scores_codex":[0.9944692,0.0003862185,0.0008975858,0.001657904,0.001153748,0.001435312],"domain_scores_gemma":[0.996294,0.0002030009,0.00065652,0.002314992,0.0001467558,0.0003847695],"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":[0.00008415557,0.0002876705,0.0001457962,0.0003668443,0.00007953015,0.001232621,0.0001771964,0.00006921598,0.0003449606,0.000002467841,0.9971468,0.00006270825],"study_design_scores_gemma":[0.001180295,0.0001221017,0.0009007021,0.0004229247,0.0002000614,0.000008639689,0.0002610791,0.00005083352,0.000202235,0.00007530487,0.9952151,0.001360704],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001632527,0.001091113,5.780961e-7,0.00003771615,0.001484446,0.0009826019,0.9926555,0.0004910861,0.003093717],"genre_scores_gemma":[0.00004463548,0.0003875454,0.0001855571,0.000273837,0.0007516545,0.0002151733,0.991516,0.0004554444,0.006170183],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3368623,"threshold_uncertainty_score":0.9997735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0142269983794805,"score_gpt":0.2677157993448755,"score_spread":0.253488800965395,"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."}}