{"id":"W6903435740","doi":"10.1051/limn/2010033/pdf","title":"Variation of an indicator of","year":2010,"lang":"en","type":"article","venue":"Springer Link (Chiba Institute of Technology)","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Turbidity; Fecal coliform; Settling; Contamination; Pollution; Population; Indicator bacteria; Dilution; Hydrology (agriculture)","routes":{"ca_aff":false,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006304447,0.0003126009,0.0003004576,0.0006693036,0.0002805464,0.0007007685,0.0003225992,0.0003091655,0.0007711297],"category_scores_gemma":[0.002341612,0.00009122689,0.0001851406,0.001333968,0.0005000705,0.0002120256,0.0003852707,0.0003360597,0.0003199177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001972485,"about_ca_system_score_gemma":0.00125413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1226021,"about_ca_topic_score_gemma":0.1182949,"domain_scores_codex":[0.9987689,0.0001287525,0.00005815724,0.000243296,0.0006929405,0.00010799],"domain_scores_gemma":[0.9986686,0.0002114576,0.0005249152,0.00009855023,0.0003920396,0.000104484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001297799,0.00008582803,0.9310257,0.00006317906,0.0001077191,0.000121368,0.0002331756,0.001407968,0.04255254,0.0003105814,0.0005126072,0.02344946],"study_design_scores_gemma":[0.000002089201,0.0001626274,0.9882542,0.000007807402,0.00001965305,0.0001696687,0.0001296174,0.001365394,0.007175379,0.0001535189,0.002548477,0.00001165111],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9863528,0.0007171814,0.007908608,0.00008328845,0.00001934376,0.00004920889,0.001920281,0.00009657835,0.002852621],"genre_scores_gemma":[0.9953186,0.0001996994,0.001602774,0.00003807269,0.000005059047,0.00001658453,0.001312239,0.000006800748,0.001500094],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9992289,"threshold_uncertainty_score":0.243777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01057512189881757,"score_gpt":0.2384050424444954,"score_spread":0.2278299205456779,"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."}}