{"id":"W4409309089","doi":"10.1007/s10750-025-05873-7","title":"Response of freshwater macroinvertebrate feeding and dispersal traits to variations in terrestrial detritus quality","year":2025,"lang":"en","type":"article","venue":"Hydrobiologia","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biological dispersal; Detritus; Ecology; Biology; Invertebrate; Freshwater ecosystem; Periphyton; Ecosystem; Biomass (ecology); Population","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":[0.0003173753,0.0002301046,0.0004355295,0.000307999,0.0002649518,0.0006399601,0.0002727814,0.0006187662,0.003489381],"category_scores_gemma":[0.001726717,0.000350611,0.0004220011,0.0002936098,0.0006073534,0.0003351021,0.0005863578,0.0006770284,0.0003073226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003658079,"about_ca_system_score_gemma":0.0001973086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005130491,"about_ca_topic_score_gemma":0.006178451,"domain_scores_codex":[0.9997676,0.00006156346,0.00001722082,0.0000761077,0.00002033765,0.00005724396],"domain_scores_gemma":[0.9985598,0.000616802,0.0002209708,0.00009493103,0.00009732443,0.000410211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0133805,0.001209442,0.6789913,0.00008019996,0.0007402872,0.0005542755,0.0007596008,0.001596194,0.2957724,0.0001684939,0.0003689184,0.006378464],"study_design_scores_gemma":[0.00001183125,0.0002791587,0.9980566,9.244757e-7,0.00001736735,0.00004790691,0.000112662,0.0004353689,0.0009691269,0.00002578894,0.0000378593,0.000005328465],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999769,0.00001122564,0.00003534528,0.00001119273,0.000001533472,0.000002038418,0.00005324529,0.000002086801,0.0001142823],"genre_scores_gemma":[0.9994016,0.000007780017,0.00003623605,0.00002876212,0.000002182312,0.000004542928,0.0001183159,0.000004546907,0.000396157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005130491,"threshold_uncertainty_score":0.01167315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695604819010175,"score_gpt":0.2773243506660423,"score_spread":0.2603683024759406,"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."}}