{"id":"W4237028818","doi":"10.4324/9780429504181-4","title":"Implementing integrated water management: illustrations from the Grand River watershed","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Water resource management; Hydrology (agriculture); Watershed; Environmental science; Computer science; Engineering; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000271537,0.0002815596,0.0001055593,0.0002334455,0.002369715,0.00187406,0.000560442,0.0007718902,0.008733318],"category_scores_gemma":[0.0003573362,0.00007695353,0.0001071563,0.0008497212,0.001713883,0.0009167897,0.001302886,0.0008301641,0.0009910393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01316945,"about_ca_system_score_gemma":0.008004243,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3877451,"about_ca_topic_score_gemma":0.759236,"domain_scores_codex":[0.9998546,0.00003172115,0.000003743071,0.0000147291,0.00006324106,0.00003198461],"domain_scores_gemma":[0.9999294,0.00001706044,0.000004507492,0.000004470465,0.00002503211,0.00001946057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001308627,0.00005696778,0.0007570627,0.0002758528,0.000003524372,0.0007420405,0.0190466,0.001693655,0.0009506228,0.3862526,0.4188193,0.1713886],"study_design_scores_gemma":[0.000001904858,0.000006580982,0.0008873766,0.00006686922,0.000001335292,0.00005162834,0.002099515,0.0001603482,0.00007349227,0.006389353,0.9902586,0.000003135988],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01135174,0.01107617,0.005752594,0.01421018,0.0006054418,0.0001185205,0.0001268465,0.0001267831,0.9566318],"genre_scores_gemma":[0.127127,0.02461734,0.0120317,0.002646567,0.0002067421,0.0001275848,0.0002530585,0.0001499185,0.8328401],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6122549,"threshold_uncertainty_score":0.7709764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01929142907459838,"score_gpt":0.2469807625822455,"score_spread":0.2276893335076471,"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."}}