{"id":"W3217616637","doi":"10.3390/land10121303","title":"Methodological Challenges in Studying Trust in Natural Resources Management","year":2021,"lang":"en","type":"article","venue":"Land","topic":"Mining and Resource Management","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; McGill University","keywords":"Operationalization; Conceptualization; Terminology; Knowledge management; Context (archaeology); Stakeholder; Natural resource management; Computer science; Natural resource; Public relations; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2108429,0.000904798,0.001931478,0.00545927,0.00683795,0.01047012,0.004822848,0.003883693,0.003579605],"category_scores_gemma":[0.3782698,0.001085644,0.001428659,0.009106165,0.01775011,0.01129414,0.01012957,0.006404789,0.0007255538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008243631,"about_ca_system_score_gemma":0.0128111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0107826,"about_ca_topic_score_gemma":0.01225797,"domain_scores_codex":[0.6422385,0.3191341,0.01415841,0.008471566,0.01383648,0.002161015],"domain_scores_gemma":[0.6040003,0.3180928,0.02837043,0.02275274,0.02386617,0.002917669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002803798,0.0004846822,0.03474478,0.008028297,0.000669063,0.0008052454,0.07570022,0.003692395,0.0008295688,0.74831,0.008467325,0.117988],"study_design_scores_gemma":[0.0002212572,0.0007488881,0.0219142,0.01199506,0.0004354951,0.0008438669,0.1118695,0.01132645,0.001581019,0.7587926,0.07998621,0.0002854475],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1337446,0.02301148,0.7071825,0.06894463,0.0035449,0.01454065,0.001753032,0.0001250909,0.04715321],"genre_scores_gemma":[0.6624483,0.006413153,0.2766093,0.006985524,0.00125574,0.04260977,0.0005568646,0.00009737218,0.003024034],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2108429,"threshold_uncertainty_score":0.9731712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1296592074938775,"score_gpt":0.2919175920146841,"score_spread":0.1622583845208066,"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."}}