{"id":"W2306223346","doi":"10.14288/1.0075283","title":"Relationship between markets and technology in large Western Canadian sawmills","year":2009,"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; Computer science; Operations management; Economics","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":[0.0004422054,0.0002381002,0.0001982783,0.001695844,0.002625882,0.001742389,0.0004686878,0.000347468,0.004024871],"category_scores_gemma":[0.001745004,0.0002355896,0.0001660955,0.002277936,0.001141095,0.0004917507,0.000676889,0.0004566995,0.0001893991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01207805,"about_ca_system_score_gemma":0.009132992,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9474132,"about_ca_topic_score_gemma":0.9835966,"domain_scores_codex":[0.999292,0.00003896131,0.00001310036,0.0000980261,0.0002777881,0.0002801178],"domain_scores_gemma":[0.9982461,0.0002751308,0.000385411,0.00002986099,0.0006208895,0.0004425199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002520645,0.0001721293,0.9332182,0.00005964592,0.00002443691,0.000956355,0.02106982,0.000433418,0.004051737,0.00157467,0.002465172,0.03572232],"study_design_scores_gemma":[0.000003619731,0.00003207273,0.9782215,0.00001526868,0.000006112192,0.00006823519,0.01741839,0.0003118211,0.0002560535,0.00008662115,0.003562886,0.00001750108],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972119,0.00009759385,0.00005053758,0.00007767136,0.000002210051,0.000007426378,0.00009730092,0.00000272469,0.002452493],"genre_scores_gemma":[0.9972883,0.0001004079,0.0000856152,0.00002757986,0.000001931126,0.000005201823,0.00008593185,0.000003486329,0.002401469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05258679,"threshold_uncertainty_score":0.1057929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006331970219109634,"score_gpt":0.1638442548321095,"score_spread":0.1575122846129999,"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."}}