{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001098424,0.0004681633,0.0003823874,0.001115609,0.0005345017,0.001564912,0.000765633,0.0007780397,0.003595963],"category_scores_gemma":[0.003125651,0.0002545456,0.0007340568,0.0009102061,0.00121423,0.001765659,0.001050901,0.001801245,0.001069433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007460944,"about_ca_system_score_gemma":0.001026054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001419419,"about_ca_topic_score_gemma":0.001435466,"domain_scores_codex":[0.9994937,0.0001662026,0.00003780272,0.0001053439,0.0001729538,0.00002391812],"domain_scores_gemma":[0.9989884,0.0006006822,0.00007520686,0.0001294192,0.0001617987,0.00004431158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001134064,0.00007209614,0.002946144,0.0006055714,0.0001127456,0.0002431568,0.0002525233,0.04754816,0.0110725,0.3751073,0.02144572,0.5404807],"study_design_scores_gemma":[0.00001882907,0.0000511818,0.002018878,0.0001741115,0.00003172687,0.0002766828,0.0001164967,0.3581684,0.005832889,0.5271296,0.1061312,0.00004998821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007372808,0.00721999,0.9611257,0.003776453,0.0003136194,0.00009686646,0.0002830878,0.001334302,0.01847714],"genre_scores_gemma":[0.152558,0.006279156,0.8314622,0.0008219026,0.0003555714,0.0001993923,0.0007008102,0.0002435745,0.007379389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003595963,"threshold_uncertainty_score":0.01202965,"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."}}