{"id":"W4230592199","doi":"10.1139/cjfas-2013-0615","title":"Fish growth and degree-days II: selecting a base temperature for an among-population study","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry","funders":"Minnesota Department of Natural Resources","keywords":"Degree (music); Fish <Actinopterygii>; Temperature gradient; Population; Range (aeronautics); Statistics; Growth rate; Biology; Ecology; Mathematics; Environmental science; Fishery; Geography; Demography; Physics; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002715756,0.0003524779,0.0005320089,0.0006150309,0.0005871287,0.0005172619,0.0005781074,0.0003845803,0.0006900036],"category_scores_gemma":[0.006268646,0.0002417783,0.0007160518,0.0006804065,0.0006729304,0.000592169,0.0008534912,0.0005527839,0.0001198732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007290137,"about_ca_system_score_gemma":0.000509133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01567324,"about_ca_topic_score_gemma":0.02334684,"domain_scores_codex":[0.9989716,0.0005169598,0.00006252703,0.0002180664,0.0001335596,0.00009729189],"domain_scores_gemma":[0.9976972,0.001206644,0.0003565645,0.0003738673,0.0002284681,0.000137252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003511546,0.00009061863,0.9627585,0.0000416623,0.0002152218,0.0001010655,0.0002878921,0.01674366,0.01123801,0.001005174,0.0002400961,0.006927042],"study_design_scores_gemma":[0.00002629844,0.0004442656,0.9395571,0.00001041268,0.00009367985,0.0001179468,0.0005050454,0.0542376,0.003251441,0.001103438,0.000624129,0.00002871072],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897899,0.00002662083,0.009163361,0.00002059536,0.000004993284,0.00004363263,0.0002301056,0.0000258171,0.0006949322],"genre_scores_gemma":[0.9941273,0.00001098772,0.005315719,0.000009006007,0.000003296531,0.00007300089,0.0002915188,0.00001946116,0.0001497248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01567324,"threshold_uncertainty_score":0.03116405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01937672870720434,"score_gpt":0.2162774791594763,"score_spread":0.196900750452272,"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."}}