{"id":"W2134585782","doi":"10.1577/h08-019.1","title":"Influence of Thiamine Deficiency on Lake Trout Larval Growth, Foraging, and Predator Avoidance","year":2009,"lang":"en","type":"article","venue":"Journal of Aquatic Animal Health","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Fisheries and Oceans Canada","funders":"Great Lakes Fishery Trust","keywords":"Biology; Foraging; Predator; Trout; Larva; Zoology; Predator avoidance; Thiamine; Thiamine deficiency; Fishery; Ecology; Fish <Actinopterygii>; Predation","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":[0.0001312493,0.0002334161,0.000200857,0.0001897621,0.0001598357,0.0003256416,0.0001705707,0.0002032542,0.0006008152],"category_scores_gemma":[0.0003254914,0.000161248,0.0001717668,0.00007610894,0.000301409,0.0001805261,0.0003252116,0.0003189535,0.00007516745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006820234,"about_ca_system_score_gemma":0.0003861048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009723493,"about_ca_topic_score_gemma":0.02034249,"domain_scores_codex":[0.9999222,0.00001615792,0.000008213262,0.00001879558,0.00001798899,0.000016704],"domain_scores_gemma":[0.9997031,0.00006356534,0.00007780157,0.00001687008,0.00002840369,0.0001101852],"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":[0.002551917,0.0001739768,0.08531731,0.0000370026,0.00004597146,0.0002037175,0.0001159625,0.000459901,0.9090675,0.0000381155,0.00003976567,0.001948942],"study_design_scores_gemma":[0.00005451677,0.002575438,0.840986,0.000006407734,0.00005761744,0.0002511062,0.000206323,0.005182779,0.1503325,0.00004972437,0.0002785001,0.0000190482],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998701,0.00002133777,0.00002104269,0.000004741443,4.80069e-7,0.000001367059,0.00002648611,0.000001640159,0.00005285249],"genre_scores_gemma":[0.9995242,0.0000219416,0.000108936,0.000008280085,5.711308e-7,0.000004723193,0.00007354539,0.00000180944,0.0002560712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009723493,"threshold_uncertainty_score":0.01933378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00869282322163526,"score_gpt":0.2512848323416441,"score_spread":0.2425920091200089,"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."}}