{"id":"W2403307292","doi":"10.14288/1.0103148","title":"The use of optimization programs in the Canadian wood products sector","year":2013,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Environmental science","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":[0.002387622,0.0008078457,0.0004076557,0.00164192,0.0015731,0.002818159,0.0009649042,0.0005266397,0.002234165],"category_scores_gemma":[0.005540963,0.0004407997,0.0005954096,0.004487603,0.001855595,0.001486545,0.00103942,0.001330629,0.0002399157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01919466,"about_ca_system_score_gemma":0.01767804,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7703893,"about_ca_topic_score_gemma":0.7592037,"domain_scores_codex":[0.997857,0.0008040165,0.00008822826,0.0001684189,0.0007980024,0.0002841451],"domain_scores_gemma":[0.9976782,0.001223996,0.0001804531,0.00014399,0.0006906823,0.0000827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00007628449,0.0000862924,0.003087373,0.0002302342,0.00004631576,0.00008558413,0.0005291213,0.5884879,0.00107051,0.2395734,0.005501689,0.1612254],"study_design_scores_gemma":[0.0000252827,0.00005613333,0.003619174,0.0002725329,0.00005009443,0.00004315351,0.0008028194,0.8717749,0.003381706,0.04074135,0.07914244,0.00009050208],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1291066,0.008578034,0.5873302,0.004866607,0.0001413277,0.0003740501,0.0009648761,0.001226158,0.2674122],"genre_scores_gemma":[0.7389047,0.01018881,0.2279384,0.0003673448,0.00004416065,0.0001742156,0.0005553683,0.0004270247,0.02139998],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2296107,"threshold_uncertainty_score":0.4619258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02019953399280391,"score_gpt":0.1459550530712871,"score_spread":0.1257555190784832,"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."}}