{"id":"W2325791148","doi":"10.1093/forestry/cpr024","title":"Forest dependence and community well-being in rural Canada: a longitudinal analysis","year":2011,"lang":"en","type":"article","venue":"Forestry An International Journal of Forest Research","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Census; Geography; Unemployment; Logging; Work (physics); Demographic economics; Forest industry; Economic geography; Economics; Economic growth; Sociology; Forestry; Demography; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002399776,0.0001504737,0.000227739,0.0006302331,0.0002544304,0.0001070085,0.001452417,0.00007005238,0.00153953],"category_scores_gemma":[0.0002462218,0.0001331981,0.00008967526,0.000770366,0.0004081345,0.001018769,0.0005966852,0.001130436,0.00003416682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004552016,"about_ca_system_score_gemma":0.0001401101,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.685631,"about_ca_topic_score_gemma":0.8715384,"domain_scores_codex":[0.997062,0.0004329067,0.0004907541,0.000172716,0.001388743,0.0004528842],"domain_scores_gemma":[0.9988838,0.0002195659,0.0001945751,0.0002946408,0.00014357,0.0002638059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000222618,0.0001846464,0.9911659,0.00000601835,0.0001547236,0.0003568259,0.000883258,0.002499756,0.000006035915,0.003552308,0.0003678257,0.0006000845],"study_design_scores_gemma":[0.0003869706,0.0002805293,0.9865643,0.00003925734,0.00003510882,0.00008591173,0.0003616249,0.003115655,0.00002988476,0.008523392,0.0004513428,0.0001259671],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761966,0.00001286715,0.00005960098,0.0001490536,0.0001314578,0.0001013731,0.000004541402,0.000004842607,0.02333966],"genre_scores_gemma":[0.9989046,0.00005772704,0.0004112113,0.00004198793,0.0001124859,0.000005769886,0.00001216003,0.00001125339,0.0004428356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1859074,"threshold_uncertainty_score":0.9993732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05560607243451908,"score_gpt":0.3384399210184998,"score_spread":0.2828338485839808,"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."}}