{"id":"W4392412272","doi":"10.62310/liab.v3i1.114","title":"Comparative analysis of canine genomes in terms of chromosomal perspectives","year":2023,"lang":"en","type":"article","venue":"Letters In Animal Biology","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department of Biotechnology, Ministry of Science and Technology, India","keywords":"Genome; Evolutionary biology; Biology; Computational biology; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001332195,0.00009494011,0.0003243515,0.0003579696,0.00001105075,0.000001798557,0.000115084,0.00009265827,0.00001530457],"category_scores_gemma":[0.00001865544,0.00008568994,0.00008876412,0.0007322846,0.0002277839,0.00000150317,0.00007776485,0.00006262256,0.000001452483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001347857,"about_ca_system_score_gemma":0.000012271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001162332,"about_ca_topic_score_gemma":0.0002949888,"domain_scores_codex":[0.9991341,0.00007131284,0.0002535949,0.000329921,0.00004248412,0.0001686413],"domain_scores_gemma":[0.9996868,0.00001216205,0.00009962547,0.0001602981,0.00002486433,0.0000162475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001063025,0.00003978102,0.2494799,0.000006241317,0.0001537943,0.000002224515,0.0004798629,0.0009014492,0.7484972,0.0002301684,0.0000280291,0.00007502663],"study_design_scores_gemma":[0.0003110082,0.0006262541,0.83801,0.000005731881,0.00004671707,0.000001737145,0.0006366663,0.0005004762,0.1593534,0.00002157771,0.0003623859,0.0001240788],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998776,0.0004258414,0.0000274183,0.0003239502,0.00003640908,0.00008780428,0.00003001771,0.000003922744,0.0002886181],"genre_scores_gemma":[0.9993637,0.000241041,0.0001373362,0.00005211084,0.00005887582,0.000007684729,0.0001076382,0.00000475762,0.00002682528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5891438,"threshold_uncertainty_score":0.3494334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0155609810448886,"score_gpt":0.2956283367918891,"score_spread":0.2800673557470005,"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."}}