{"id":"W7095817144","doi":"","title":"Trophic Status Evaluation for 154 Lakes in Quebec, Canada: Monitoring and Recommendations","year":2015,"lang":"en","type":"article","venue":"","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trophic level; Watershed; Water quality; Trophic state index; Transparency (behavior); Sustainability; Nutrient","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":[0.001297729,0.0005534844,0.0003186727,0.00262314,0.00213866,0.0009049083,0.0009430207,0.0003634399,0.002314417],"category_scores_gemma":[0.001945469,0.0002845163,0.000393125,0.003312264,0.0004130562,0.0003810601,0.0004517311,0.0002647892,0.0002932484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02591456,"about_ca_system_score_gemma":0.02461988,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9883431,"about_ca_topic_score_gemma":0.9951687,"domain_scores_codex":[0.9995055,0.00006276531,0.00005986241,0.00005531433,0.0002088658,0.0001076686],"domain_scores_gemma":[0.9974204,0.0001253776,0.0002266167,0.00004484438,0.001884149,0.000298666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001606431,0.00007666963,0.894622,0.0003901582,0.00008606382,0.0003603678,0.0008148076,0.001586487,0.002916994,0.0002392005,0.0169585,0.08178807],"study_design_scores_gemma":[0.0000147318,0.00004424899,0.9893574,0.00009720171,0.00004267937,0.00004980079,0.001110021,0.00175443,0.0004938982,0.00002866749,0.006987443,0.00001954882],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9530243,0.003712335,0.002080876,0.002798504,0.00004649775,0.0009454089,0.021042,0.0002281751,0.01612189],"genre_scores_gemma":[0.9643157,0.002348818,0.01047442,0.000475208,0.00001473766,0.0004283671,0.009675286,0.00002455252,0.01224303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02591456,"threshold_uncertainty_score":0.1880242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03164480291494023,"score_gpt":0.2706269642488526,"score_spread":0.2389821613339124,"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."}}