{"id":"W4410006984","doi":"10.3390/w17091358","title":"Towards Participatory River Governance Through Citizen Science","year":2025,"lang":"en","type":"article","venue":"Water","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Secretaría de Educación Superior, Ciencia, Tecnología e Innovación","keywords":"Citizen science; Corporate governance; Citizen journalism; Environmental planning; Environmental resource management; Environmental governance; Political science; Public participation; Public administration; Environmental science; Business; Law","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":[0.06340589,0.0006194887,0.0006102785,0.002398515,0.004326598,0.0115932,0.003032358,0.003551262,0.003421946],"category_scores_gemma":[0.03297285,0.0005565844,0.0007422709,0.002149239,0.02515261,0.01003988,0.01328038,0.004315258,0.0004844356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00561664,"about_ca_system_score_gemma":0.01529973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00395717,"about_ca_topic_score_gemma":0.005755715,"domain_scores_codex":[0.9489403,0.04231547,0.0007645383,0.002979395,0.003485337,0.001515054],"domain_scores_gemma":[0.9550054,0.03239743,0.002336833,0.006336131,0.002811259,0.001112948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004124287,0.0003443891,0.006763646,0.0006411395,0.00007087699,0.0003314307,0.08359304,0.006429049,0.001784862,0.7884418,0.003756474,0.1078021],"study_design_scores_gemma":[0.0000555508,0.00009230745,0.001475036,0.0005620737,0.00001776391,0.0001211732,0.03873954,0.009141441,0.001313533,0.8434456,0.1049973,0.00003863969],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08839964,0.001458799,0.7320336,0.05006991,0.0002222011,0.001363321,0.0001424556,0.0002503216,0.1260599],"genre_scores_gemma":[0.7377348,0.0008173166,0.251479,0.001885928,0.00006711483,0.001660304,0.0001267377,0.0000622463,0.006166482],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06340589,"threshold_uncertainty_score":0.3353264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03418771434105181,"score_gpt":0.282826338794622,"score_spread":0.2486386244535702,"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."}}