{"id":"W6991481594","doi":"","title":"Habitat selection and body size as potential drivers of intraspecific variation in thermal tolerance of Nile perch «(Lates niloticus L.)»","year":2016,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Intraspecific competition; Selection (genetic algorithm); Habitat; Variation (astronomy); Ectotherm; Perch; Population","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":[0.0003585774,0.00008920376,0.0001534149,0.0001702715,0.000192703,0.0004847842,0.0001445937,0.0001488311,0.001389641],"category_scores_gemma":[0.0008780637,0.0001036871,0.0001491751,0.0001392643,0.0001698972,0.0001255097,0.0002507458,0.0002204548,0.0001613564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001521332,"about_ca_system_score_gemma":0.0001277923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006051854,"about_ca_topic_score_gemma":0.02034962,"domain_scores_codex":[0.9999169,0.0000301661,0.000005090239,0.00002278951,0.00001174589,0.0000131507],"domain_scores_gemma":[0.9994429,0.0001918693,0.0001457882,0.00001999049,0.00006065344,0.0001387547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003983386,0.00007865265,0.9626604,0.00002100519,0.0001361848,0.00007931203,0.0005393814,0.0003420628,0.01903943,0.0001395453,0.0005395605,0.01602618],"study_design_scores_gemma":[0.000001677289,0.00002987823,0.9993942,0.000002078033,0.000009653641,0.00001224412,0.0001118247,0.0002079347,0.0001261862,0.00002553988,0.00007655367,0.000002154197],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996698,0.00004042113,0.00002994707,0.00002230292,0.000002080607,8.32525e-7,0.0000293382,0.000001278898,0.0002041945],"genre_scores_gemma":[0.9992613,0.00004349814,0.00007525329,0.00002277149,0.000002809042,0.000003518442,0.00009170023,0.000002774849,0.0004962854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006051854,"threshold_uncertainty_score":0.01203328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006070923500548879,"score_gpt":0.2014490581071812,"score_spread":0.1953781346066323,"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."}}