{"id":"W7053234840","doi":"","title":"Tracking sources of microbial pollution in recreational waters: Experience from two Toronto beaches","year":2009,"lang":"en","type":"other","venue":"DSpace (Centre National De La Recherche Scientifique)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Recreation; Tracking (education); Pollution; Water pollution","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":[0.0004406118,0.0005211617,0.0002306397,0.0006136,0.003134436,0.0008729134,0.0006139483,0.0006365922,0.0017427],"category_scores_gemma":[0.0007909675,0.0003052217,0.0002116824,0.001363878,0.0007705094,0.0003710611,0.001439689,0.0004155845,0.0005266562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00326269,"about_ca_system_score_gemma":0.003177083,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.586799,"about_ca_topic_score_gemma":0.8981712,"domain_scores_codex":[0.9995459,0.00005911791,0.00002006601,0.00009049488,0.0001904493,0.00009409889],"domain_scores_gemma":[0.9993604,0.00006511549,0.00008499379,0.00003616786,0.0002708285,0.0001825762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007280624,0.0003908435,0.7487841,0.0003458797,0.00007197112,0.00453479,0.09361389,0.0008097359,0.07174978,0.0001754576,0.002171083,0.07662442],"study_design_scores_gemma":[0.00001803979,0.0007619358,0.9240758,0.00005609957,0.00006013557,0.0006232507,0.05479392,0.0006115902,0.01065415,0.00006026118,0.008248672,0.00003611024],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957741,0.0001342611,0.0005748383,0.0001097281,0.000005474516,0.00007195254,0.0004406085,0.00001915033,0.002869993],"genre_scores_gemma":[0.9808545,0.0004828966,0.004227051,0.0000641358,0.000007987483,0.00003676366,0.0005842739,0.00001959921,0.01372293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.413201,"threshold_uncertainty_score":0.8312689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0809346719497141,"score_gpt":0.3243659162645027,"score_spread":0.2434312443147886,"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."}}