{"id":"W2037778802","doi":"10.5558/tfc85065-1","title":"Bringing home the bacon: Industry, employment, and income in boreal Canada","year":2009,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Natural Resources Canada; Agriculture Food and Rural Development; Canadian Forest Service","funders":"Canadian Forest Service; U.S. Forest Service","keywords":"Boreal; Taiga; Forest industry; Geography; Unemployment; Tourism; Economic growth; Economics; Forestry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009231851,0.0001386582,0.0002489433,0.001599348,0.004065301,0.001695963,0.0007086685,0.0002917545,0.002868064],"category_scores_gemma":[0.003024591,0.00009342365,0.0002523779,0.003547345,0.00113113,0.0005391139,0.001302444,0.0005968675,0.0001075688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01801636,"about_ca_system_score_gemma":0.0287733,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958488,"about_ca_topic_score_gemma":0.9988532,"domain_scores_codex":[0.9993029,0.00007792722,0.00002269265,0.00005600311,0.0002421909,0.0002983509],"domain_scores_gemma":[0.9981178,0.0002274756,0.0002786882,0.00003937177,0.0006466421,0.0006900048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003532952,0.0000522695,0.9713003,0.00003737182,0.00003294333,0.0001113713,0.005957509,0.0002050728,0.00008750179,0.001866795,0.00451328,0.01580026],"study_design_scores_gemma":[0.000002914369,0.00001171254,0.9832281,0.00005912307,0.00001369489,0.00003070915,0.01173969,0.0001795053,0.00003145155,0.0001882554,0.004503647,0.00001125864],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810749,0.002129971,0.000072659,0.004242742,0.00003695508,0.00002174761,0.001696034,0.000005195569,0.01071984],"genre_scores_gemma":[0.9963208,0.0009844714,0.000118263,0.0002426939,0.00001364718,0.000007291132,0.0003907612,0.000002893187,0.001919076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01801636,"threshold_uncertainty_score":0.1307185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02308461061373081,"score_gpt":0.3234078950983357,"score_spread":0.3003232844846049,"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."}}