{"id":"W1841606297","doi":"10.1139/cjfas-2013-0295","title":"Fish growth and degree-days I: selecting a base temperature for a within-population study","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":167,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; Ministry of Natural Resources and Forestry","funders":"Ministry of Natural Resources","keywords":"Degree (music); Fish <Actinopterygii>; Population; Statistics; Range (aeronautics); Base (topology); Biology; Mathematics; Variation (astronomy); Animal science; Ecology; Fishery; Demography; Physics; Materials science; Sociology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000494936,0.00007935506,0.0001308283,0.00006554296,0.0008220187,0.0001898611,0.0001089457,0.00002560446,0.0001269778],"category_scores_gemma":[0.0003757882,0.0000587164,0.00001582391,0.0001846117,0.0003422634,0.0005592019,0.00002414143,0.00006672794,9.297941e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002462849,"about_ca_system_score_gemma":0.00003531749,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01056752,"about_ca_topic_score_gemma":0.2225322,"domain_scores_codex":[0.9993408,0.00003382785,0.0001866186,0.000141257,0.0001059779,0.0001914797],"domain_scores_gemma":[0.9995672,0.0001040411,0.0001240655,0.0000348453,0.00001205632,0.0001577563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002486514,0.000008332027,0.9896443,0.000007361184,0.00001303688,0.000004178309,0.00265213,0.000008007091,0.00002320074,0.00003619465,0.006486646,0.001114139],"study_design_scores_gemma":[0.0002759657,0.0006186477,0.9858779,0.00001642367,0.00002900952,0.00002085486,0.009809572,0.0006924486,0.00001378007,0.002370284,0.0001730409,0.0001020689],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946125,0.00002674587,0.00002146236,0.004203316,0.0001285336,0.0002714439,9.482719e-7,0.000002601812,0.0007324487],"genre_scores_gemma":[0.9976401,0.000007734571,0.001395143,0.0008018857,0.00002641537,0.00001213811,2.873501e-7,0.000002951111,0.0001132969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2119647,"threshold_uncertainty_score":0.9960212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850644848776789,"score_gpt":0.2099433702680803,"score_spread":0.1914369217803124,"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."}}