{"id":"W2157904560","doi":"10.1111/j.1365-2419.2007.00445.x","title":"The marine temperature and depth preferences of Arctic charr (<i>Salvelinus alpinus</i>) and sea trout (<i>Salmo trutta</i>), as recorded by data storage tags","year":2007,"lang":"en","type":"article","venue":"Fisheries Oceanography","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Norges Forskningsråd","keywords":"Salmo; Salvelinus; Arctic; Fjord; Trout; Fishery; Oceanography; Diel vertical migration; Brown trout; Environmental science; Biology; Geology; 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":[0.000214579,0.0001689658,0.0001184767,0.0002607827,0.0001839466,0.0002780951,0.00009387552,0.0001524736,0.000733799],"category_scores_gemma":[0.000384536,0.0001290673,0.0001386951,0.0001338951,0.0002188985,0.0001755655,0.0001678277,0.0001482132,0.0002272478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002714084,"about_ca_system_score_gemma":0.0001132921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009001365,"about_ca_topic_score_gemma":0.02215835,"domain_scores_codex":[0.9999312,0.00001247166,0.000005272716,0.00001956,0.00001364453,0.00001786701],"domain_scores_gemma":[0.9995422,0.000054068,0.0001684548,0.00001544961,0.00006629455,0.0001535694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001475009,0.00007952641,0.8930676,0.00001976786,0.00005245678,0.0001425714,0.000936896,0.0002405423,0.09955885,0.00002650417,0.000117953,0.004282347],"study_design_scores_gemma":[0.000004880054,0.0002482903,0.9982337,0.000001441159,0.000006771125,0.00005286114,0.0003308709,0.0001612917,0.0008791281,0.000005608184,0.00007225668,0.000002970399],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998739,0.000006247959,0.00001156661,0.000001607445,5.618253e-7,4.757035e-7,0.00001892907,4.64725e-7,0.00008615184],"genre_scores_gemma":[0.9994864,0.0000140033,0.0000601092,0.000007095774,0.000001442265,0.000002789115,0.0001339036,0.000001293772,0.0002929733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009001365,"threshold_uncertainty_score":0.01789796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009123875753249468,"score_gpt":0.2124019309215281,"score_spread":0.2032780551682786,"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."}}