{"id":"W180526896","doi":"10.1023/a:1011461727835","title":"Stream epilithic, epipelic and epiphytic diatoms: habitat fidelity and use in biomonitoring","year":2000,"lang":"en","type":"article","venue":"Aquatic Ecology","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":86,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Ordination; Epiphyte; Canonical correspondence analysis; Habitat; Diatom; Ecology; River ecosystem; Water quality; STREAMS; Periphyton; Total suspended solids; Environmental science; Indicator species; Alkalinity; Biomonitoring; Biology; Algae; Chemical oxygen demand; Chemistry","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":[0.0007263608,0.0001277812,0.000163492,0.000467664,0.0004355911,0.0004985668,0.0002706757,0.0003241455,0.00100044],"category_scores_gemma":[0.00250609,0.0001769313,0.0001507488,0.0003943054,0.0003965005,0.0004857745,0.0005068656,0.0002544422,0.0001173277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002898556,"about_ca_system_score_gemma":0.0001801121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01127561,"about_ca_topic_score_gemma":0.03505092,"domain_scores_codex":[0.9996786,0.000124098,0.00002584152,0.00007617201,0.00005427714,0.00004099969],"domain_scores_gemma":[0.9987748,0.0004799553,0.000387909,0.0001093524,0.0001176438,0.0001302655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008514571,0.00002786353,0.9943386,0.000008039417,0.00002449518,0.00001272422,0.0001659119,0.00006603249,0.001137519,0.00003038232,0.00002087073,0.004082339],"study_design_scores_gemma":[8.480462e-7,0.00003996591,0.9991009,0.000002385151,0.000009751225,0.00008247727,0.000163284,0.0002774309,0.0002383286,0.00002466158,0.00005820338,0.000001681802],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996281,0.0000651727,0.00009765106,0.000007049024,4.730485e-7,0.000002147142,0.0000310477,6.487981e-7,0.0001676631],"genre_scores_gemma":[0.9995883,0.00004274323,0.0001780616,0.000005542989,8.942143e-7,0.000002451951,0.00004026886,8.899843e-7,0.000140905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01127561,"threshold_uncertainty_score":0.02241999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02245246740328156,"score_gpt":0.2914292377541572,"score_spread":0.2689767703508757,"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."}}