{"id":"W2000674673","doi":"10.1139/f04-223","title":"Is metabolic rate a reliable predictor of growth and survival of brown trout (<i>Salmo trutta</i>) in the wild?","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Salmo; Brown trout; Juvenile; Biology; Metabolic rate; Growth rate; Trout; Zoology; Salmonidae; Ecology; Basal metabolic rate; Smoltification; Fish <Actinopterygii>; Fishery; Endocrinology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00105527,0.00007141627,0.0002081291,0.00008017813,0.0001737874,0.00003100385,0.0002444554,0.00002352978,0.000173935],"category_scores_gemma":[0.0001682504,0.00004561323,0.00002599101,0.00028874,0.001404482,0.0003492831,0.00002847734,0.0000659755,6.545952e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000105847,"about_ca_system_score_gemma":0.0000695499,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006402978,"about_ca_topic_score_gemma":0.07106259,"domain_scores_codex":[0.9992027,0.00006278716,0.0002796831,0.0001039435,0.0001653455,0.0001855629],"domain_scores_gemma":[0.9995391,0.0001303292,0.0001805392,0.00005867241,0.00000696252,0.00008435321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006473969,0.00001090576,0.9900424,0.000009251232,0.00001374761,0.000003599329,0.003227701,0.00001484246,0.00003080543,0.0003734677,0.005445401,0.0008213547],"study_design_scores_gemma":[0.0003078577,0.0002365355,0.9874949,0.00002535626,0.00003401818,0.00001053087,0.003889737,0.0002545964,0.00009641898,0.001891274,0.00569299,0.00006581125],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849609,0.0005075641,0.00001130048,0.008958783,0.00008098033,0.00007243011,0.000003229405,6.795103e-7,0.005404194],"genre_scores_gemma":[0.9982768,0.0004424311,0.0003890966,0.0007601505,0.00001914169,0.00000155562,8.109506e-8,0.000001825278,0.0001089628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06465962,"threshold_uncertainty_score":0.967943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01288774678539498,"score_gpt":0.202433255938458,"score_spread":0.189545509153063,"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."}}