{"id":"W6998700549","doi":"","title":"Assessing the Resilience of Ontarioâs Low Water Response Plan under a Changed Climate Scenario: An Ontario Case Study","year":2010,"lang":"en","type":"dissertation","venue":"Library and Archives Canada (Government of Canada)","topic":"Water Resources and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Exclosure; Work (physics); Limiting","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001501983,0.0002588012,0.0003595419,0.00003017712,0.000989077,0.0001532681,0.0005005248,0.00008821667,0.00008020903],"category_scores_gemma":[0.00000724571,0.0001808582,0.00004246867,0.00006865937,0.0001742296,0.0005908287,0.0001025341,0.0004808704,3.186704e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003947755,"about_ca_system_score_gemma":0.004308139,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.918979,"about_ca_topic_score_gemma":0.9995308,"domain_scores_codex":[0.9961061,0.0004293917,0.0004041989,0.0003714255,0.002206042,0.0004828542],"domain_scores_gemma":[0.9987329,0.0002854624,0.000382179,0.0003542389,0.000002712226,0.0002425705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.01051084,0.0008535438,0.3684177,0.0007810672,0.0005057366,0.007479657,0.54885,0.0002992217,0.04628771,0.00852963,0.0003323629,0.007152553],"study_design_scores_gemma":[0.0005264631,0.0002686782,0.3992597,0.0003180345,0.0000969133,0.00003178585,0.5677243,0.00006414353,0.0161915,0.0001724125,0.01484016,0.0005059637],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805239,0.00004442186,7.628128e-7,0.0009699823,0.0003635777,0.0004461654,0.00008721374,0.000006939415,0.01755702],"genre_scores_gemma":[0.9819617,0.0000204077,0.00005612128,0.0002546638,0.00006739362,0.00001497426,0.0000256045,0.00002433285,0.01757482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08055182,"threshold_uncertainty_score":0.7642453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020749845946279,"score_gpt":0.2202373606614328,"score_spread":0.2100298622019701,"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."}}