{"id":"W2488842558","doi":"10.1016/j.envsoft.2016.06.012","title":"A decision support system for updating and incorporating climate change impacts into rainfall intensity-duration-frequency curves: Review of the stakeholder involvement process","year":2016,"lang":"en","type":"article","venue":"Environmental Modelling & Software","topic":"Climate variability and models","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Stakeholder; Stakeholder engagement; Process (computing); Process management; Duration (music); Decision support system; Legitimacy; Stakeholder analysis; Business; Environmental resource management; Computer science; Political science; Public relations; Economics; Data mining","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00131902,0.0002768815,0.0003730551,0.00002631615,0.0003415517,0.00002016913,0.0002970707,0.00008474442,0.0001229824],"category_scores_gemma":[0.000164835,0.000176513,0.0001136899,0.0001167864,0.0002514056,0.0006185939,0.0004152124,0.0001085768,0.0000156871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004418314,"about_ca_system_score_gemma":0.00001688816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009786299,"about_ca_topic_score_gemma":0.00003836524,"domain_scores_codex":[0.9976602,0.00007520062,0.0008141012,0.0005628486,0.0005256679,0.0003620088],"domain_scores_gemma":[0.9985999,0.0002147781,0.0005536692,0.0004841352,0.00001859211,0.0001289303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0004068202,0.001196532,0.754264,0.08509789,0.0001746,0.00001549376,0.01568119,0.01026926,0.03296984,0.000923241,0.0006803937,0.09832076],"study_design_scores_gemma":[0.0164997,0.003998478,0.05975187,0.585409,0.002487366,0.0003683647,0.01429433,0.190709,0.04509676,0.07010286,0.001764924,0.00951732],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8960773,0.002628656,0.09626306,0.0007753394,0.0002055558,0.003527785,0.0003458686,0.00009595795,0.00008049],"genre_scores_gemma":[0.975641,0.006222689,0.01673304,0.0009990666,0.00003135915,0.0002667438,0.00006049564,0.00003777624,0.000007831974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6945121,"threshold_uncertainty_score":0.719799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0468386794445431,"score_gpt":0.2554388877413621,"score_spread":0.2086002082968191,"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."}}