{"id":"W1968201339","doi":"10.1080/14942119.2014.957527","title":"Developing training for industrial wood supply management","year":2014,"lang":"en","type":"article","venue":"International Journal of Forest Engineering","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Supply chain; Context (archaeology); Training (meteorology); Engineering management; Supply chain management; Supply and demand; Process management; Business; Engineering; Operations management; Knowledge management; Computer science; Marketing; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002135573,0.0007298576,0.0003778668,0.001004283,0.0008944137,0.001948937,0.001131295,0.001284336,0.01359587],"category_scores_gemma":[0.004426835,0.0002249908,0.000405442,0.000621849,0.0005079812,0.001370084,0.003127779,0.001553009,0.006857527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009553441,"about_ca_system_score_gemma":0.003429544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003359857,"about_ca_topic_score_gemma":0.0008083439,"domain_scores_codex":[0.9987962,0.0003788666,0.00005901991,0.0001621899,0.0002955781,0.0003080639],"domain_scores_gemma":[0.9975809,0.0008929783,0.0002368065,0.0002078453,0.0003921534,0.0006893016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001632664,0.005770749,0.009152622,0.001247747,0.00001493354,0.0004941412,0.01029957,0.007251417,0.01645488,0.01785194,0.03124962,0.9000492],"study_design_scores_gemma":[0.0002129722,0.00516668,0.07715149,0.004525654,0.0000478821,0.002006713,0.01861301,0.01967648,0.03893204,0.06318957,0.770362,0.0001155872],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6018817,0.002291966,0.1445696,0.00842383,0.001111316,0.00187423,0.0004785505,0.002732604,0.2366362],"genre_scores_gemma":[0.6484846,0.003123352,0.2590266,0.001410853,0.0002629299,0.001438133,0.001066938,0.000225613,0.08496093],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01359587,"threshold_uncertainty_score":0.04548275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02701633266028412,"score_gpt":0.2497793370521902,"score_spread":0.2227630043919061,"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."}}