{"id":"W4394833941","doi":"10.52783/jes.1993","title":"Artificial Intelligence for Meiosis and Mitosis Analysis","year":2024,"lang":"en","type":"article","venue":"Journal of Electrical Systems","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Meiosis; Mitosis; Biology; Process (computing); Computer science; Artificial intelligence; Computational biology; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.0008125089,0.00009717162,0.0002519384,0.0002853315,0.00004818782,0.0001488008,0.0001671598,0.0001453694,0.000004887564],"category_scores_gemma":[0.0004675431,0.0000682895,0.000254079,0.0004947021,0.00006037448,0.000005393428,0.00003390522,0.0001334651,0.000003092903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002421118,"about_ca_system_score_gemma":0.0001062093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009433358,"about_ca_topic_score_gemma":0.000005292673,"domain_scores_codex":[0.9986591,0.00004851483,0.000596455,0.0001443911,0.0003116264,0.0002398686],"domain_scores_gemma":[0.9992495,0.0001278617,0.0001062518,0.0001005816,0.000223997,0.0001918561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006791422,0.0003369752,0.002126903,0.0009468231,0.005525973,0.00003773572,0.000305357,0.0004526014,0.438559,0.002703498,0.02579681,0.5225292],"study_design_scores_gemma":[0.0004546724,0.01058886,0.001441778,0.0002954913,0.002934303,0.0004615173,0.0006554677,0.3204049,0.3206656,0.003703168,0.3373862,0.001008095],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3386741,0.03123856,0.6267206,0.001449029,0.001102229,0.0004640943,0.00004188589,0.00001308567,0.0002963725],"genre_scores_gemma":[0.9966161,0.001447952,0.000899076,0.0000377093,0.0008010363,0.000006636945,0.000008398295,0.000008410497,0.0001746705],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.657942,"threshold_uncertainty_score":0.2784765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668581570385699,"score_gpt":0.3179143124237209,"score_spread":0.2912284967198639,"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."}}