{"id":"W2294834563","doi":"10.5962/bhl.title.114123","title":"A workforce strategy for Alberta's forest industry","year":2008,"lang":"en","type":"article","venue":"","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Workforce; Forest industry; Business; Forestry; Geography; Economics; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003293199,0.0004890931,0.0002261524,0.001349771,0.009196609,0.006387092,0.002277234,0.01059119,0.01300263],"category_scores_gemma":[0.003833611,0.0003358299,0.0003730968,0.0008805081,0.001381423,0.00186332,0.003327265,0.004544869,0.001306011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03819561,"about_ca_system_score_gemma":0.2814333,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8959868,"about_ca_topic_score_gemma":0.964465,"domain_scores_codex":[0.9965962,0.000209836,0.00005150684,0.00014175,0.0008567299,0.00214401],"domain_scores_gemma":[0.9933608,0.0003035208,0.00007842518,0.00006811834,0.001241722,0.004947501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001373757,0.0002925356,0.009562832,0.0001954087,0.00002043941,0.0006040266,0.003731274,0.001661777,0.001422881,0.09990299,0.797664,0.0848045],"study_design_scores_gemma":[0.00005628444,0.0000999464,0.01893184,0.0002580742,0.00002066775,0.0000825193,0.009906416,0.0009892882,0.0004024795,0.007057136,0.962152,0.00004335459],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09530621,0.005554982,0.002443272,0.5361846,0.004510388,0.0005482194,0.001474911,0.000504637,0.3534728],"genre_scores_gemma":[0.2298496,0.00253782,0.003622307,0.08453853,0.0005032988,0.0002005468,0.0008437927,0.00006082623,0.6778433],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1040132,"threshold_uncertainty_score":0.2771298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03797577385488099,"score_gpt":0.2642310857188955,"score_spread":0.2262553118640145,"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."}}