{"id":"W2299108023","doi":"10.1007/s00300-016-1928-8","title":"Capture-induced stress in deep-water Arctic fish species","year":2016,"lang":"en","type":"article","venue":"Polar Biology","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada; Carleton University; University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Nunavut; University of Windsor; University of Victoria","keywords":"Halibut; Biology; Arctic; Fishery; Electrofishing; Fish measurement; Animal science; Ecology; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001399968,0.0002177054,0.0001963073,0.0003051603,0.0005340376,0.000393587,0.0001239127,0.0003101781,0.0009147113],"category_scores_gemma":[0.0002270535,0.0001907986,0.000201514,0.0002055432,0.0003576476,0.000249578,0.0004555143,0.0003491434,0.0001146774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005745693,"about_ca_system_score_gemma":0.0003295332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009760307,"about_ca_topic_score_gemma":0.02630643,"domain_scores_codex":[0.9999363,0.000009010339,0.000004290305,0.00001631162,0.00001149649,0.00002254503],"domain_scores_gemma":[0.9998382,0.0000160361,0.00004841268,0.00001168782,0.00002541683,0.00006027837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003226294,0.0001940655,0.3177246,0.000116284,0.0002066608,0.0003336809,0.0009678779,0.0004194616,0.6711326,0.0001324553,0.0001590348,0.005387026],"study_design_scores_gemma":[0.000004432752,0.0003205016,0.9952663,0.000002883781,0.00001333526,0.00007807152,0.0003277333,0.0001025875,0.003747876,0.00002023424,0.0001112646,0.000004800697],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997067,0.00005177904,0.00002244656,0.000006246265,0.000002213362,0.000001868465,0.00003314806,7.130122e-7,0.0001747808],"genre_scores_gemma":[0.9993229,0.00008061011,0.00004041443,0.00002569799,0.000003488062,0.000008126074,0.0001437456,0.000001346739,0.0003737367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009760307,"threshold_uncertainty_score":0.01940703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01901789035192441,"score_gpt":0.2214747788777069,"score_spread":0.2024568885257825,"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."}}