{"id":"W2079989067","doi":"10.1002/cfg.259","title":"Genomics and mapping of Teleostei (bony fish)","year":2003,"lang":"en","type":"article","venue":"Comparative and Functional Genomics","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; BC Cancer Agency; Canada's Michael Smith Genome Sciences Centre","keywords":"Teleostei; Fish <Actinopterygii>; Genomics; Biology; Computational biology; Computer science; Fishery; Genome; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001415268,0.0002345371,0.0001824409,0.0006476812,0.0001903269,0.0002595047,0.0001672344,0.0001741786,0.001967158],"category_scores_gemma":[0.0001266752,0.00009769565,0.000194731,0.0006513759,0.000314346,0.0001495769,0.0002722278,0.0002692778,0.0008378812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003997108,"about_ca_system_score_gemma":0.0004439411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004504027,"about_ca_topic_score_gemma":0.003902102,"domain_scores_codex":[0.9999447,0.000006607027,0.000003565743,0.00001960362,0.00001762786,0.000007856033],"domain_scores_gemma":[0.9999628,0.000005733183,0.00001228078,0.000003761204,0.000006370212,0.000009119826],"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":[0.0002307306,0.000009014603,0.003883696,0.0005677285,0.00001932884,0.0004951436,0.000503447,0.0005071958,0.9106496,0.00493661,0.001651571,0.07654601],"study_design_scores_gemma":[0.00005254619,0.0002531499,0.4041784,0.000344955,0.000124365,0.00572361,0.001213732,0.0009135001,0.1664476,0.00798391,0.4127153,0.00004894655],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8785852,0.03947333,0.03655971,0.001634695,0.000169902,0.00008604051,0.0112416,0.0005338377,0.03171583],"genre_scores_gemma":[0.9156972,0.02344673,0.02680931,0.0004056847,0.00006720718,0.0001213398,0.0126122,0.0001672267,0.020673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004504027,"threshold_uncertainty_score":0.008955598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03861775998002997,"score_gpt":0.2402660519055498,"score_spread":0.2016482919255198,"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."}}