{"id":"W1816460651","doi":"","title":"Investigation and qualitative classification of Heroriver water by Canadian Water Quality Index (CWQI).","year":2014,"lang":"en","type":"article","venue":"Advances in Environmental Biology","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Water quality; Index (typography); Quality (philosophy); Environmental science; Biology; Ecology; 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":[0.001858932,0.0001547862,0.0001479685,0.003027666,0.001861322,0.001124272,0.0005855495,0.0001841289,0.0024608],"category_scores_gemma":[0.004442165,0.00007779073,0.000142431,0.003224122,0.001990975,0.0004623433,0.00104664,0.0003391088,0.0001527158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008186551,"about_ca_system_score_gemma":0.01187262,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6522696,"about_ca_topic_score_gemma":0.8376417,"domain_scores_codex":[0.9985334,0.000284055,0.00005926888,0.0001302002,0.0007909462,0.0002021431],"domain_scores_gemma":[0.9971403,0.000533638,0.0003025169,0.0001006372,0.001737696,0.0001851705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005207056,0.0001382324,0.4722622,0.001032178,0.00007317539,0.0006644808,0.2363189,0.0006390294,0.03152112,0.0173674,0.02255404,0.2169085],"study_design_scores_gemma":[0.000009047875,0.00008777346,0.59393,0.0002712422,0.00004159162,0.0002580602,0.3154432,0.00133259,0.008247583,0.002260573,0.07804387,0.00007448698],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9401752,0.0005549173,0.006476566,0.001143248,0.00005990273,0.000642093,0.004218898,0.00005085066,0.04667842],"genre_scores_gemma":[0.9837874,0.0003182161,0.004717187,0.0001722285,0.000006204351,0.0001869187,0.001112444,0.00001576531,0.009683807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3477304,"threshold_uncertainty_score":0.6995565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02137452092980107,"score_gpt":0.2999107112958964,"score_spread":0.2785361903660953,"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."}}