{"id":"W2051750440","doi":"10.1007/s10641-006-9102-8","title":"Influence of water temperature and streambed stability on the abundance and distribution of slimy sculpin (Cottus cognatus)","year":2006,"lang":"en","type":"article","venue":"Environmental Biology of Fishes","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick; Ministry of Natural Resources and Forestry","funders":"","keywords":"Sculpin; Electrofishing; Environmental science; Population; Cottus; Habitat; Cottidae; Fishery; Overfishing; Population density; Substrate (aquarium); Ecology; Biology; Fishing; 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":[0.0002097413,0.00020233,0.0002152948,0.0002953987,0.0002642686,0.0004471206,0.0002197339,0.0002662699,0.002303598],"category_scores_gemma":[0.0008770065,0.0001986163,0.0001983665,0.0001853339,0.0005052311,0.0002321481,0.0002858674,0.0003106908,0.0002005876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004566873,"about_ca_system_score_gemma":0.0002771172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01094489,"about_ca_topic_score_gemma":0.02804595,"domain_scores_codex":[0.9999083,0.00002338218,0.000006849174,0.00002429619,0.00001130865,0.00002589401],"domain_scores_gemma":[0.9992512,0.0002589903,0.0001494319,0.00002537407,0.00005740504,0.0002576693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007123787,0.000535375,0.8844982,0.00005926759,0.0002805862,0.0004664813,0.0003000151,0.000862079,0.09658666,0.000123694,0.0004227119,0.008741117],"study_design_scores_gemma":[0.00001209804,0.0002242483,0.9977928,0.000001134052,0.0000393462,0.00005524162,0.00008680256,0.0004907398,0.001224975,0.00001692914,0.0000519736,0.000003637434],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999798,0.00002505712,0.00001312883,0.000008066208,0.000001800158,7.085457e-7,0.00003198405,0.000001248704,0.0001200594],"genre_scores_gemma":[0.9997292,0.00001582558,0.00001897379,0.00001340092,0.000002448739,0.000001520271,0.00004254797,0.000002090617,0.0001738594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01094489,"threshold_uncertainty_score":0.02176231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003504581159174148,"score_gpt":0.1695552875883822,"score_spread":0.166050706429208,"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."}}