{"id":"W2091108481","doi":"10.1088/1755-1307/6/29/292065","title":"Ouranos: A multidisciplinary approach to impact assessment and adaptation to climate change as applied to water resources","year":2009,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ouranos","funders":"","keywords":"Multidisciplinary approach; Climate change; Adaptation (eye); Climate change adaptation; Water resources; Environmental planning; Environmental resource management; Environmental science; Psychology; Sociology; Geology; Social science; Ecology","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":[0.002830802,0.0009831707,0.001048932,0.003160554,0.001518764,0.005295273,0.001914385,0.001330126,0.01541253],"category_scores_gemma":[0.004516138,0.0006205589,0.002033503,0.002330442,0.001070112,0.004365931,0.00566574,0.001452684,0.001546849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001217098,"about_ca_system_score_gemma":0.002383848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006056155,"about_ca_topic_score_gemma":0.01283298,"domain_scores_codex":[0.9990591,0.0003703101,0.0001059959,0.0001231769,0.0002774986,0.00006390106],"domain_scores_gemma":[0.998833,0.0005015607,0.0001223375,0.0001981387,0.0001758668,0.0001691673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008346824,0.0001154961,0.002787254,0.000583204,0.000315283,0.0005501543,0.001191035,0.08655033,0.003050675,0.5089133,0.04373004,0.3521298],"study_design_scores_gemma":[0.00003799903,0.00003942161,0.001437442,0.0002640692,0.0001463336,0.0002657088,0.0007965303,0.2170906,0.001569014,0.4936174,0.2846561,0.00007939082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005520674,0.0008069761,0.9487196,0.002411984,0.0005040363,0.0001908142,0.001261808,0.004108704,0.03647532],"genre_scores_gemma":[0.08766188,0.001538518,0.8927986,0.0004998626,0.0003794735,0.0005596559,0.001041784,0.001147883,0.01437241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01541253,"threshold_uncertainty_score":0.0515601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03351916283280159,"score_gpt":0.2637509408793392,"score_spread":0.2302317780465376,"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."}}