{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003610505,0.00008088326,0.0001498669,0.00009653726,0.00001411386,0.00001791966,0.0000785158,0.00003682615,0.00002788185],"category_scores_gemma":[0.00002046777,0.00006676238,0.00002121952,0.0001358164,0.000007865941,0.00001433589,0.00007834788,0.0001494519,0.000007269498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002696297,"about_ca_system_score_gemma":6.146207e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001162234,"about_ca_topic_score_gemma":0.0002784268,"domain_scores_codex":[0.9993495,0.00009338359,0.0001271478,0.000158847,0.00009269474,0.0001783656],"domain_scores_gemma":[0.9997714,0.00007326742,0.000007885707,0.0001251125,0.000003151795,0.00001917318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006696585,0.0002820848,0.2737813,0.001525538,0.0003064906,0.005264405,0.0226272,0.1400662,0.000325799,0.002805185,0.0004996746,0.5524492],"study_design_scores_gemma":[0.001435194,0.00002582787,0.9006221,0.0002533754,0.00001720547,0.00001195781,0.01142543,0.01627943,0.0001056853,0.0002389624,0.06925374,0.0003311039],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9354113,0.009723116,0.00004083867,0.0002277834,0.0001403927,0.00007060589,3.042126e-7,0.0000749671,0.05431066],"genre_scores_gemma":[0.99619,0.001394914,0.001664801,0.00002577306,0.00003959683,0.0000156163,0.000001651368,0.000009526471,0.0006581742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6268408,"threshold_uncertainty_score":0.272249,"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."}}