{"id":"W2100300861","doi":"","title":"HUMAN RESOURCE NEEDS AND DEMAND FOR POST-SECONDARY EDUCATION IN THE CANADIAN SECONDARY WOOD PRODUCTS INDUSTRY","year":2006,"lang":"en","type":"article","venue":"Wood and Fiber Science (Society of Wood Science and Technology)","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Human Resources and Skills Development Canada","keywords":"Business; Vocational education; Economic shortage; Marketing; Manufacturing; Resource (disambiguation); Human resources; Redress; Management; Economic growth; Government (linguistics); Economics; Political science","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0004458178,0.0002036208,0.0001852351,0.001613663,0.003945455,0.001542171,0.0008935853,0.0004447402,0.009048254],"category_scores_gemma":[0.001479197,0.0002076664,0.0002390581,0.002251336,0.0006195484,0.0003342059,0.0008408533,0.0006161762,0.0007530039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01642425,"about_ca_system_score_gemma":0.03078979,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9849758,"about_ca_topic_score_gemma":0.9950879,"domain_scores_codex":[0.9991309,0.00002927838,0.00001904119,0.00004648587,0.0003213113,0.0004529573],"domain_scores_gemma":[0.9974101,0.00009009653,0.0001956447,0.00001946923,0.000878345,0.001406397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001564975,0.0002847199,0.8924906,0.0002163743,0.00002331073,0.0008369616,0.01631735,0.0002858438,0.001735883,0.001089245,0.01687179,0.0696914],"study_design_scores_gemma":[0.000004762529,0.00003832195,0.9745575,0.00005018027,0.000003982423,0.00009026119,0.01621838,0.0002098055,0.00008151713,0.00004916921,0.008683675,0.00001243561],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842548,0.0003374729,0.00004265603,0.001260774,0.00001615044,0.00002911338,0.001242247,0.00001240516,0.01280431],"genre_scores_gemma":[0.9918644,0.0004660362,0.0001085066,0.0002987665,0.000006448041,0.00001205972,0.0007401124,0.000005099565,0.006498508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01642425,"threshold_uncertainty_score":0.1191668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006003402404590986,"score_gpt":0.2222417898192769,"score_spread":0.2162383874146859,"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."}}