{"id":"W4381480670","doi":"10.2139/ssrn.4485240","title":"Impacts of Urban Stressors on Freshwater Biofilms","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Hydro-Québec; Institut National de la Recherche Scientifique","funders":"","keywords":"Stressor; Biofilm; Environmental science; Environmental planning; Geography; Psychology; Biology; Bacteria; Neuroscience","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002531054,0.0003305949,0.0002565572,0.0002990051,0.0003930861,0.0008172787,0.0001594892,0.0004454659,0.002593369],"category_scores_gemma":[0.0005752224,0.00009481222,0.0002204682,0.0004122081,0.0003423217,0.000314587,0.0009392764,0.0001980325,0.0002330414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005607629,"about_ca_system_score_gemma":0.0004332032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007990777,"about_ca_topic_score_gemma":0.009785803,"domain_scores_codex":[0.9998005,0.00005041042,0.000009745238,0.00003255735,0.00004544289,0.00006136478],"domain_scores_gemma":[0.9997105,0.00009501116,0.00004880318,0.00001849959,0.00006765701,0.00005945669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002180037,0.0007455889,0.4887718,0.001211319,0.0003764462,0.001645009,0.002274309,0.09167935,0.2888565,0.009489809,0.006343474,0.1064264],"study_design_scores_gemma":[0.00005873425,0.001461812,0.8667036,0.00007646793,0.0001770005,0.0002701636,0.008051026,0.04366764,0.05861144,0.01395888,0.006919365,0.00004392779],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962559,0.0002353077,0.0005349955,0.0001386485,0.00002080471,0.000008980677,0.0003335723,0.000006390503,0.002465508],"genre_scores_gemma":[0.9987733,0.0002428634,0.000120075,0.00001831143,0.000006080308,0.000004678149,0.0001393827,0.000002555347,0.0006928411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007990777,"threshold_uncertainty_score":0.01588851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02503774003004652,"score_gpt":0.2831503663303596,"score_spread":0.2581126263003131,"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."}}