{"id":"W4321210573","doi":"10.1007/978-3-031-23811-6_1","title":"Water Risk-Return Modeling and Management: Threats and Opportunities","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Concordia University","funders":"","keywords":"Business; Risk management; Risk analysis (engineering); Environmental planning; Environmental resource management; Environmental science; Finance","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":[0.002162564,0.001328154,0.001030838,0.0006615858,0.0003858776,0.004427314,0.002349248,0.001976638,0.007979482],"category_scores_gemma":[0.004013814,0.000599369,0.0006967364,0.001717028,0.001848804,0.005223819,0.001550996,0.00280232,0.001564423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001826864,"about_ca_system_score_gemma":0.002300454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0115646,"about_ca_topic_score_gemma":0.01795578,"domain_scores_codex":[0.9995455,0.0002066795,0.00001424498,0.00006037554,0.0001451094,0.00002796638],"domain_scores_gemma":[0.9978926,0.001592417,0.00008014208,0.000144595,0.0002045846,0.00008571349],"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":[0.00002140257,0.0001139567,0.001130351,0.0001941463,0.0000653472,0.00006899696,0.000173764,0.1790662,0.0002444584,0.5276517,0.0859741,0.2052955],"study_design_scores_gemma":[0.000003972934,0.00001882551,0.000306414,0.0001899022,0.00001730304,0.00003845359,0.0001703497,0.1732027,0.0001670045,0.7613761,0.0644839,0.00002510076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01396703,0.07287745,0.6401344,0.05302326,0.003195055,0.00006443359,0.0008935162,0.001031175,0.2148137],"genre_scores_gemma":[0.3839457,0.1299369,0.2450195,0.005206733,0.006295512,0.0002395741,0.001082669,0.001197631,0.2270758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0115646,"threshold_uncertainty_score":0.026694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07215660469958227,"score_gpt":0.2173715332059947,"score_spread":0.1452149285064124,"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."}}