{"id":"W4398775956","doi":"10.32920/25893493.v1","title":"The Environmental Drivers of Beach Water Quality in Toronto","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Water quality; Environmental planning; Business; Geography; Transport engineering; Environmental science; Engineering; Ecology; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001127937,0.0001861513,0.0002062956,0.00001165282,0.00006440963,0.00004252638,0.000415792,0.0001575233,0.007816691],"category_scores_gemma":[0.000003473799,0.0001041392,0.0001371355,0.00001941284,0.0003058811,0.00006002159,0.002420228,0.0003948513,0.0005565679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001425927,"about_ca_system_score_gemma":0.00001244057,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02808422,"about_ca_topic_score_gemma":0.01648459,"domain_scores_codex":[0.9981229,0.0002586241,0.0005094896,0.0003891968,0.0004463102,0.0002734407],"domain_scores_gemma":[0.9993415,0.0000445843,0.00007340324,0.0004810524,9.126343e-7,0.00005849331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005556503,0.003934602,0.3650731,0.001622258,0.001123539,0.00009277208,0.1575652,0.02131027,0.2073404,0.06777599,0.0859861,0.08762008],"study_design_scores_gemma":[0.001154399,0.000175584,0.5642078,0.00017496,0.000126424,0.00000522722,0.01439129,0.001764662,0.09260204,0.06812359,0.2554007,0.001873273],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9404618,0.0002597263,0.0000495084,0.002294699,0.0006223945,0.0004016067,0.00007822722,0.00003258696,0.05579944],"genre_scores_gemma":[0.9913675,0.0001167896,0.0001935655,0.0001467021,0.00002328557,0.00003237788,0.00005144648,0.00001044803,0.008057874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1991347,"threshold_uncertainty_score":0.9930903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02024971399397481,"score_gpt":0.30353701114683,"score_spread":0.2832872971528552,"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."}}