{"id":"W2142936364","doi":"10.1093/czoolo/56.1.157","title":"Perspectives: Gene expression in fisheries management","year":2010,"lang":"en","type":"article","venue":"Current Zoology","topic":"Aquaculture Nutrition and Growth","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Biology; Genomics; Functional genomics; DNA microarray; Aquaculture; Broodstock; Evolutionary biology; Genome; Gene; Fish stock; Adaptation (eye); Genetics; Computational biology; Fishery; Gene expression; Fish <Actinopterygii>","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":[0.002120658,0.0005981073,0.0006441259,0.000747564,0.0004002542,0.002178536,0.001062936,0.001830676,0.006981039],"category_scores_gemma":[0.0008796146,0.0001002309,0.0003460492,0.001258758,0.002492402,0.002530553,0.0006893868,0.001623312,0.001281186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001106256,"about_ca_system_score_gemma":0.0008894416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001731452,"about_ca_topic_score_gemma":0.001800289,"domain_scores_codex":[0.9996201,0.0001592205,0.00001917316,0.00008909535,0.00007187903,0.00004052047],"domain_scores_gemma":[0.9992712,0.0002903294,0.00006701505,0.00003903913,0.0002310019,0.0001013872],"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":[0.0003983291,0.0001896349,0.01081951,0.003616211,0.0001622558,0.0009867484,0.001015493,0.003668009,0.02814017,0.2791221,0.2122079,0.4596737],"study_design_scores_gemma":[0.00002824223,0.000231122,0.01162993,0.001166551,0.00008750526,0.0009357094,0.002262117,0.002013013,0.004537504,0.214866,0.7621872,0.00005499626],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01876142,0.5521742,0.01640865,0.3560394,0.01170534,0.0000260232,0.001164942,0.0001591192,0.04356097],"genre_scores_gemma":[0.2411838,0.6058897,0.02209423,0.06161233,0.02682999,0.00009121226,0.0007838513,0.00008049224,0.0414344],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006981039,"threshold_uncertainty_score":0.02335393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02356135167426221,"score_gpt":0.2476063694475487,"score_spread":0.2240450177732865,"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."}}