{"id":"W2647698891","doi":"","title":"Evaluating the Impact of Geophysical Variables on the Bacterial Contamination of Private Wells in Southern Ontario","year":2017,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Contamination; Environmental science; Geography; Biology; Ecology","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":[0.0004462958,0.0002403216,0.0002354413,0.0007286036,0.00108209,0.0009072021,0.0004182031,0.0002072854,0.001074017],"category_scores_gemma":[0.002313763,0.0002218094,0.000285083,0.001727048,0.0007672939,0.0003766707,0.0007544096,0.0002176785,0.0001623573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01092739,"about_ca_system_score_gemma":0.007917101,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9608371,"about_ca_topic_score_gemma":0.9893982,"domain_scores_codex":[0.9993194,0.00008551152,0.00003186635,0.0001209089,0.0002619656,0.0001804233],"domain_scores_gemma":[0.9982845,0.0002958039,0.000480024,0.00007921246,0.0006671214,0.000193221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001055441,0.0000195584,0.987033,0.00004332447,0.00003831329,0.0001123438,0.002136098,0.0004536092,0.002572866,0.0001200035,0.0002919343,0.007073373],"study_design_scores_gemma":[0.000001540502,0.00002585603,0.9965868,0.000008875763,0.00001038468,0.00001622213,0.001981898,0.000433846,0.0002435799,0.00002944741,0.0006565652,0.000004945631],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970772,0.00008132087,0.0002750478,0.00006750699,0.00000217042,0.00001832897,0.0008314528,0.000007256619,0.001639864],"genre_scores_gemma":[0.9973053,0.0001211275,0.0004795493,0.00001810981,0.000001467379,0.00001540457,0.0005375919,0.00000416024,0.001517314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03916287,"threshold_uncertainty_score":0.07928419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009566122378606845,"score_gpt":0.209926838697826,"score_spread":0.2003607163192191,"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."}}