{"id":"W2794066090","doi":"10.1111/fwb.13077","title":"Use of acoustic refuges by freshwater fish: Theoretical framework and empirical data in a three‐species trophic system","year":2018,"lang":"en","type":"article","venue":"Freshwater Biology","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Perch; Trophic level; Underwater; Predation; Freshwater fish; Noise (video); Freshwater ecosystem; Environmental science; Ambient noise level; Ecology; Ecosystem; Fish <Actinopterygii>; Fishery; Biology; Sound (geography); Acoustics; Computer science; Geography; Artificial intelligence; Physics","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":[0.001536959,0.0003336975,0.0004181225,0.001135023,0.0009056747,0.001352082,0.001362973,0.0009435432,0.00460037],"category_scores_gemma":[0.003091828,0.0002767459,0.0008028276,0.0007778254,0.002775602,0.001356097,0.001240823,0.0005217111,0.0001998728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001478996,"about_ca_system_score_gemma":0.0005320591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01058973,"about_ca_topic_score_gemma":0.005617433,"domain_scores_codex":[0.9997712,0.00008875948,0.00001531725,0.00005376331,0.00002240479,0.00004850759],"domain_scores_gemma":[0.9975652,0.001393051,0.0005367055,0.000140401,0.0001612892,0.0002035048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003608155,0.0004958598,0.3612575,0.0004049893,0.0004134258,0.001892117,0.004588445,0.3475531,0.008630628,0.2447565,0.001140015,0.02850665],"study_design_scores_gemma":[0.0000559955,0.0003086187,0.1584317,0.00006505548,0.0001056833,0.0006784221,0.003519163,0.7178675,0.0003221186,0.117762,0.0007771411,0.0001066527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878754,0.0001212972,0.009575245,0.0002150983,0.000001968903,0.00001049197,0.00004879994,0.00001768555,0.002134056],"genre_scores_gemma":[0.9989914,0.00003361634,0.000859088,0.000007848918,0.000001345933,0.000007307225,0.00001225767,0.000001113859,0.0000859981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01058973,"threshold_uncertainty_score":0.02105618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05357076726391578,"score_gpt":0.2881621794200778,"score_spread":0.2345914121561621,"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."}}