{"id":"W6901812054","doi":"10.6084/m9.figshare.12860144.v2","title":"Evaluation of Bashar River water quality using CCME water quality index","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Water quality; Recreation; Index (typography); Quality (philosophy); Water resources; Hydrology (agriculture); Sampling (signal processing)","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":[0.0006280605,0.0003465016,0.000383081,0.002743769,0.0004371091,0.0009249908,0.000226835,0.0002307343,0.001303133],"category_scores_gemma":[0.0007367177,0.00009476351,0.0002997561,0.003600478,0.0002539372,0.0003261748,0.0005016305,0.0002171561,0.0001705654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001498185,"about_ca_system_score_gemma":0.001133547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09265065,"about_ca_topic_score_gemma":0.2366515,"domain_scores_codex":[0.9988291,0.0001021627,0.00005682196,0.0001033487,0.000811513,0.00009711849],"domain_scores_gemma":[0.9994435,0.00004945668,0.00007118205,0.00001741941,0.0003886406,0.00002989578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002639556,0.0002504456,0.8022562,0.0002735631,0.0002527312,0.0003106214,0.0007569701,0.006409956,0.03654203,0.001026387,0.002785015,0.148872],"study_design_scores_gemma":[0.00001158334,0.0001896257,0.9737854,0.00001858743,0.00004413228,0.00008635161,0.001035496,0.01141758,0.008436983,0.0002180353,0.004711855,0.0000443329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792566,0.0002640986,0.005048128,0.00006224592,0.00001606923,0.000169791,0.002271445,0.0001042684,0.01280724],"genre_scores_gemma":[0.9908517,0.0001746341,0.004845884,0.0000136279,0.000003875439,0.0000824243,0.00187219,0.00000723872,0.002148285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09265065,"threshold_uncertainty_score":0.1842228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3462060670876154,"score_gpt":0.3944632137741305,"score_spread":0.0482571466865151,"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."}}