{"id":"W2947032871","doi":"10.1002/nafm.10294","title":"Assessing Acoustic Tagging Effects on Survival, Growth, and Swimming Ability of Juvenile Lake Sturgeon","year":2019,"lang":"en","type":"article","venue":"North American Journal of Fisheries Management","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Fish and Wildlife Service","keywords":"Juvenile; Sturgeon; Lake sturgeon; Telemetry; Biology; Acipenser; Fishery; Fish <Actinopterygii>; Body weight; Habitat; Zoology; Animal science; Ecology; Computer science","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":[0.0002639337,0.0003613908,0.0001880409,0.0003176687,0.0001472531,0.0001677159,0.0001141426,0.0001951357,0.000849058],"category_scores_gemma":[0.0003325212,0.0001524146,0.0001726338,0.000102914,0.0002245574,0.0002442118,0.0002965743,0.0001990677,0.0001244423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001868408,"about_ca_system_score_gemma":0.0000960829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001490616,"about_ca_topic_score_gemma":0.003668447,"domain_scores_codex":[0.9999088,0.00001443156,0.00001095467,0.00002331884,0.00002475153,0.00001766853],"domain_scores_gemma":[0.9995692,0.00005537973,0.0001729635,0.00002794673,0.00006056792,0.0001138688],"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":[0.00243404,0.0001925968,0.1747228,0.00004625864,0.00004492114,0.0001529484,0.0002952872,0.0002052234,0.8155709,0.00001502795,0.00007541976,0.006244688],"study_design_scores_gemma":[0.00001189619,0.003050567,0.9755393,0.000004433706,0.00003173585,0.00007457381,0.0001696464,0.0003901991,0.02061628,0.000007847619,0.00009689902,0.000006660238],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998661,0.00001491697,0.00004794482,0.000002913723,0.00000102316,0.000002586941,0.00001840834,0.000002863747,0.00004319828],"genre_scores_gemma":[0.9994428,0.00002100669,0.0001475177,0.00001332774,0.000001906843,0.00001281512,0.00008927133,0.000002172323,0.0002692893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001490616,"threshold_uncertainty_score":0.002963841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005978786055281548,"score_gpt":0.2119279615441867,"score_spread":0.2059491754889051,"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."}}