{"id":"W6945191787","doi":"10.25345/c54j0b209","title":"MassIVE MSV000089219 - Mammary Epithelial Subsets by Cell Cycle","year":2022,"lang":"en","type":"dataset","venue":"UC San Diego","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Cell cycle; Cell; Cell cycle progression; Cell culture; Gene","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001721728,0.0003947058,0.0003915353,0.0001729481,0.0004923515,0.000135617,0.001224203,0.0002789399,0.5416697],"category_scores_gemma":[0.00001681974,0.0003952266,0.0001979635,0.0002007757,0.0001254069,0.0002297177,0.0001547796,0.000670613,0.004403078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001976566,"about_ca_system_score_gemma":0.0001179545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005632262,"about_ca_topic_score_gemma":0.003110663,"domain_scores_codex":[0.9978566,0.0001843847,0.0002638914,0.0006526898,0.0004945745,0.0005478796],"domain_scores_gemma":[0.9986877,0.0001920629,0.0002200413,0.0006268009,0.00001759847,0.0002557799],"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":[0.00005613495,0.00004610907,0.002729813,0.00005092802,0.00004296433,0.0003743007,0.000028706,0.00003095107,0.00000110669,3.287268e-7,0.9946904,0.001948274],"study_design_scores_gemma":[0.0004192315,0.0001400916,0.001691336,0.000007336821,0.00006901086,0.00001428659,0.00009365405,0.00002505846,0.00003149685,0.0000389136,0.9969571,0.0005125214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001713558,0.001147081,0.000003242654,0.0000798421,0.001454901,0.0002727716,0.9877439,0.00005614123,0.00752856],"genre_scores_gemma":[0.0009344527,0.0003369485,0.00006964357,0.000925747,0.0002181966,0.000003608274,0.9965811,0.000005352629,0.0009249516],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5372666,"threshold_uncertainty_score":0.99985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01661452413762162,"score_gpt":0.1801929382669039,"score_spread":0.1635784141292823,"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."}}