{"id":"W2019270304","doi":"10.2166/wst.2006.325","title":"Integrated watershed management in Quebec (Canada): a participatory approach centred on local solidarity","year":2006,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Environment","funders":"","keywords":"Watershed management; Watershed; Environmental planning; Legislation; Public participation; Local government; Public administration; Business; Government (linguistics); Environmental resource management; Water industry; Corporate governance; Facilitator; Stakeholder; Water supply; Political science; Geography; Engineering; Public relations; Environmental science; Environmental engineering; Finance; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002126489,0.0001625373,0.0001746871,0.000131566,0.000204631,0.00004949483,0.0006205526,0.0001135629,0.00008334483],"category_scores_gemma":[0.000003048796,0.00005655604,0.00003074323,0.001169184,0.0006959116,0.0001059263,0.00009689676,0.0001780063,0.00002297106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000287947,"about_ca_system_score_gemma":0.00004337433,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3425885,"about_ca_topic_score_gemma":0.7315698,"domain_scores_codex":[0.9980431,0.00002639851,0.0002589952,0.0005371046,0.0004020986,0.0007323463],"domain_scores_gemma":[0.9997288,0.00000710567,0.00002699668,0.0001241143,0.00003782779,0.00007514978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002502932,0.001652479,0.08364967,0.00002632974,0.00001825956,0.0003984839,0.0006159695,0.001027543,0.7476832,0.02147874,0.00207292,0.1411261],"study_design_scores_gemma":[0.001158893,0.0003066026,0.1963212,0.0000445067,0.00002004735,0.000009119528,0.007823502,0.00419275,0.7415043,0.00260927,0.04513347,0.0008763598],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934678,0.00001065461,0.0000517176,0.002961672,0.0001118517,0.0002217998,0.000003226507,0.0001560753,0.003015194],"genre_scores_gemma":[0.9989375,0.000001897624,0.00007068751,0.0003162741,0.0000139905,0.00004465369,0.00004036294,9.253711e-7,0.0005737199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3889813,"threshold_uncertainty_score":0.6617892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01982649207447923,"score_gpt":0.1981827614918543,"score_spread":0.1783562694173751,"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."}}