{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001535165,0.00007650733,0.00007043998,0.000006066592,0.0001869619,0.00004464212,0.0002749529,0.00002795228,0.06317738],"category_scores_gemma":[0.00001813355,0.00005278148,0.00003129225,0.000209911,0.0008212948,0.0002741394,0.0003339967,0.00005099246,0.005010108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004731501,"about_ca_system_score_gemma":0.00001175336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000252827,"about_ca_topic_score_gemma":0.00004096019,"domain_scores_codex":[0.9990358,0.00001117524,0.00009764468,0.000240601,0.0002646052,0.0003501418],"domain_scores_gemma":[0.999712,0.00000395155,0.00001515647,0.0002130392,0.000009391614,0.00004645373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007728746,0.0003955711,0.137226,0.00004457478,0.0000319506,0.00004366175,0.008143158,0.000063297,0.2902874,0.1214487,0.4274406,0.01479774],"study_design_scores_gemma":[0.0002137668,0.00001167888,0.3396682,0.000006633283,0.000006757829,9.49863e-7,0.0001903681,0.00002961294,0.1888466,0.002217,0.4686891,0.0001193192],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6627668,0.00002280159,0.00006110229,0.001469636,0.0002312812,0.00005746447,0.00001254441,0.00003529803,0.3353431],"genre_scores_gemma":[0.992143,0.00002754388,0.00005926916,0.001809842,0.00001177529,0.00001739484,0.000004621329,0.00000324898,0.005923327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3294198,"threshold_uncertainty_score":0.9957646,"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."}}