{"id":"W7133097471","doi":"","title":"Evaluating Stream Fish Community Responses to Environmental Change through Biological Indices","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Habitat; Fish habitat; Sampling (signal processing); Fish <Actinopterygii>; Climate change; Resource (disambiguation); Environmental change; Environmental monitoring; Freshwater fish","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":[0.00128046,0.0002194569,0.0001625441,0.001238767,0.0003049315,0.0007818215,0.0001713048,0.0002036599,0.001695364],"category_scores_gemma":[0.002475224,0.00006367782,0.0001967696,0.001073875,0.0001635525,0.0005369055,0.0004730178,0.0002441765,0.0002707137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004563992,"about_ca_system_score_gemma":0.0003887802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004251146,"about_ca_topic_score_gemma":0.01474702,"domain_scores_codex":[0.9995579,0.0001253714,0.0000362908,0.00006712147,0.0001744801,0.00003879298],"domain_scores_gemma":[0.9988266,0.0002703707,0.0003437704,0.00004071101,0.0004067993,0.0001117978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001521578,0.0003073403,0.8774047,0.0001009217,0.000120224,0.00004620807,0.0007564707,0.001907271,0.01494797,0.0002371497,0.0007764024,0.1032432],"study_design_scores_gemma":[0.000003105639,0.0005002484,0.9905491,0.00003656168,0.00003636062,0.00003824268,0.0009996617,0.002562133,0.00369083,0.0001549183,0.001415301,0.00001336238],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921911,0.0002417532,0.002357636,0.00006136419,0.000009937985,0.00007710216,0.0005840037,0.00002238479,0.004454729],"genre_scores_gemma":[0.9857209,0.0005060146,0.009559424,0.00003292424,0.0000173291,0.0001063221,0.00109515,0.00001496054,0.002946989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004251146,"threshold_uncertainty_score":0.008452833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1651879083774875,"score_gpt":0.4156553030790076,"score_spread":0.2504673947015201,"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."}}