{"id":"W619544272","doi":"10.1080/11287462.2011.10800702","title":"Climate Change Impacts on Water Quality and Quantity","year":2011,"lang":"en","type":"article","venue":"Global Bioethics","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Climate change; Environmental science; Carbon dioxide in Earth's atmosphere; Climatology; Ecosystem; Global warming; Natural resource economics; Industrial Revolution; Environmental resource management; Geography; Ecology; Economics","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":[0.0004039018,0.0001950073,0.0001464659,0.0008750428,0.0003348,0.001500916,0.0002133067,0.0003998352,0.007028329],"category_scores_gemma":[0.002308039,0.0001020513,0.0003955795,0.003178912,0.0005352926,0.001121811,0.001131217,0.0003960323,0.0006137149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001657266,"about_ca_system_score_gemma":0.0008867651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04346999,"about_ca_topic_score_gemma":0.03770589,"domain_scores_codex":[0.9994015,0.0001299642,0.00004241485,0.00009619924,0.0002463581,0.00008355392],"domain_scores_gemma":[0.9985273,0.0001762691,0.0005151333,0.00009342957,0.0005531833,0.0001346955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003720041,0.0003106495,0.6606791,0.0004456601,0.0006455828,0.000459143,0.0008693307,0.04114502,0.007059737,0.06382959,0.03760374,0.1865804],"study_design_scores_gemma":[0.00002500636,0.0001579884,0.8262333,0.00009642874,0.0001201745,0.0001671302,0.0008343386,0.01121746,0.001563706,0.03114844,0.1283769,0.00005914126],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6637743,0.01953535,0.0151892,0.03074853,0.00123514,0.0001434897,0.03193922,0.0005048394,0.23693],"genre_scores_gemma":[0.9879181,0.003750701,0.0007373997,0.0004984883,0.0002554271,0.0000191376,0.001944982,0.00004042377,0.004835335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04346999,"threshold_uncertainty_score":0.08643395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1854023907362758,"score_gpt":0.3508481241239557,"score_spread":0.1654457333876799,"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."}}