{"id":"W2528647621","doi":"10.20381/ruor-14812","title":"The diversity and community composition of aquatic macrophytes in relation to physical and chemical environmental variables in the Rideau River, Ontario.","year":2002,"lang":"en","type":"dissertation","venue":"uO Research (University of Ottawa)","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Macrophyte; Diversity (politics); Geography; Environmental science; Relation (database); Composition (language); Ecology; Hydrology (agriculture); Engineering; Sociology; Art; Biology; Anthropology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001844883,0.0001595079,0.000179655,0.0005112272,0.001444414,0.0006394882,0.000326787,0.0002025759,0.0007510687],"category_scores_gemma":[0.000649415,0.0002003987,0.0001726407,0.0008163168,0.0006731062,0.0001644331,0.0004131932,0.0001601978,0.000143116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006258246,"about_ca_system_score_gemma":0.0031244,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9414293,"about_ca_topic_score_gemma":0.9844467,"domain_scores_codex":[0.9997587,0.00002912739,0.000009424839,0.00005260931,0.00007249796,0.00007775775],"domain_scores_gemma":[0.9996929,0.00003374789,0.00007395805,0.00001223199,0.0001004272,0.00008668682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001201289,0.00003222316,0.9686031,0.00008840206,0.00008536583,0.0002314583,0.008286882,0.0001907948,0.006547626,0.0001265566,0.0009515802,0.01473586],"study_design_scores_gemma":[0.000001938442,0.000009654965,0.9980567,0.000005890682,0.000006961058,0.00002443905,0.0009386775,0.00006232754,0.00005598867,0.000009918675,0.0008242924,0.000003145282],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998094,0.0003891334,0.0000661877,0.00005769113,0.00000198044,0.00001223007,0.0004006316,0.000002861901,0.0009753464],"genre_scores_gemma":[0.9962847,0.0003374539,0.0002795316,0.00002736458,0.000001691383,0.0000191462,0.0005018824,0.000003163677,0.0025451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05857068,"threshold_uncertainty_score":0.1178312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02385054624106087,"score_gpt":0.2297693509430803,"score_spread":0.2059188047020194,"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."}}