{"id":"W2893690413","doi":"10.3390/w10101325","title":"What Participation? Distinguishing Water Monitoring Programs in Mining Regions Based on Community Participation","year":2018,"lang":"en","type":"article","venue":"Water","topic":"Mining and Resource Management","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; University of British Columbia","funders":"","keywords":"Stakeholder; Business; Citizen journalism; Resource (disambiguation); License; Quality (philosophy); Public relations; Conflict resolution; Environmental planning; Environmental resource management; Political science; Computer science; Geography; Environmental science","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":[0.0004646702,0.0001309124,0.0001136803,0.0001026502,0.000216843,0.0002166722,0.0001182538,0.00005297961,0.0000292249],"category_scores_gemma":[0.00003251367,0.00008769078,0.00002887019,0.00007520415,0.00004230015,0.0001606098,0.0000499043,0.0001915053,0.00008123612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006415513,"about_ca_system_score_gemma":0.00000142534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005575629,"about_ca_topic_score_gemma":0.00005371954,"domain_scores_codex":[0.9989697,0.0001130929,0.0002229645,0.0001241471,0.0001467268,0.0004233394],"domain_scores_gemma":[0.9995519,0.00004599733,0.00001346845,0.0003021267,0.00002825311,0.00005825767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001055693,0.0007937847,0.2919237,0.0004564927,0.0001118395,0.00004845923,0.3189219,0.3229245,0.008059666,0.00006839728,0.0007117527,0.05587395],"study_design_scores_gemma":[0.002015035,0.000723145,0.1093264,0.00258372,0.0001059827,0.000001351219,0.01472578,0.6146755,0.2270985,0.0001827082,0.02732756,0.00123432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995662,0.000005677286,0.0004871108,0.0002153457,0.0006486129,0.0001475065,2.178907e-7,0.0002358766,0.002597639],"genre_scores_gemma":[0.9991023,0.000001409209,0.0002365544,0.00004174826,0.0002444881,0.0001203674,0.00003194854,0.00003030694,0.0001908684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3041961,"threshold_uncertainty_score":0.3575926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07612238639522223,"score_gpt":0.2875702675005562,"score_spread":0.211447881105334,"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."}}