{"id":"W4415585930","doi":"10.21083/crrf.v31i1.7314","title":"How Communities can earn a Fair Share of Benefits from Natural Resource Development","year":2023,"lang":"","type":"article","venue":"Proceedings of the Canadian Rural Revitalization Foundation","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Negotiation; Revenue; Resource (disambiguation); Distribution (mathematics); Natural resource; Revenue sharing; Resource distribution","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006478635,0.0003564362,0.0006654417,0.0007929116,0.0007591181,0.0006242148,0.0009608848,0.0002399612,0.0002363092],"category_scores_gemma":[0.0004607828,0.0003707235,0.0002118996,0.001325779,0.0001867138,0.0006869315,0.0003024732,0.0002916867,0.00006317676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001418088,"about_ca_system_score_gemma":0.0003884244,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04221784,"about_ca_topic_score_gemma":0.1132008,"domain_scores_codex":[0.997572,0.00001450236,0.001282109,0.0003636997,0.0002032296,0.0005644612],"domain_scores_gemma":[0.9971954,0.00006598372,0.001795427,0.0002624359,0.0004414406,0.0002393505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008915783,0.00007257249,0.7084766,0.001789066,0.0009095368,5.975002e-7,0.03987698,0.000680978,0.0001599751,0.1721475,0.01270325,0.06309382],"study_design_scores_gemma":[0.001069398,0.0000720521,0.5261537,0.002266701,0.00007582668,0.000003946948,0.01684489,0.01069258,0.001699362,0.005003338,0.4349398,0.001178429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987778,0.002066611,0.000004138183,0.005880907,0.0008042167,0.0007485214,0.0006290671,0.00003264022,0.002055893],"genre_scores_gemma":[0.9919726,0.0006097446,0.0001364854,0.0002192362,0.00009674374,0.00003327788,0.001151637,0.00005329198,0.005727036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4222365,"threshold_uncertainty_score":0.9998745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03160901259705805,"score_gpt":0.1970973015349445,"score_spread":0.1654882889378864,"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."}}