{"id":"W4383199005","doi":"10.1080/14942119.2023.2229708","title":"Scheduling of forest harvesting operations on multiple cut blocks using multi-task machines","year":2023,"lang":"en","type":"article","venue":"International Journal of Forest Engineering","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western Forest Products; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Computer science; Profitability index; Scheduling (production processes); Block (permutation group theory); Task (project management); Industrial engineering; Engineering; Operations management; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000538231,0.0006447801,0.0009968475,0.0003135692,0.0006308447,0.0008358558,0.0008714932,0.0005756543,0.002252932],"category_scores_gemma":[0.0008134143,0.0004162468,0.0006386394,0.0005558936,0.0004060221,0.0007686745,0.0004889412,0.0004922351,0.0002013026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001082374,"about_ca_system_score_gemma":0.002130415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02347098,"about_ca_topic_score_gemma":0.02723154,"domain_scores_codex":[0.9995939,0.00008920261,0.00001818164,0.00007399418,0.00006905085,0.0001556482],"domain_scores_gemma":[0.9995509,0.00020034,0.00007829739,0.00003324027,0.00005586603,0.00008137798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009292164,0.00004304899,0.0005001644,0.00003652064,0.0000105392,0.00006475313,0.00002330004,0.9900737,0.001960694,0.000657182,0.0001735563,0.006363719],"study_design_scores_gemma":[0.00001200899,0.00006899443,0.0005820498,0.000002451272,0.000005223833,0.00001084609,0.00002026402,0.997908,0.0004322684,0.0006548163,0.0002989075,0.000004183018],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5862702,0.0004515254,0.4034755,0.0002392004,0.0000642144,0.0003784683,0.0003222014,0.0003670133,0.008431569],"genre_scores_gemma":[0.9677588,0.0001598618,0.02943779,0.00001993327,0.000008190338,0.0001019515,0.0001573919,0.00002698005,0.002329101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02347098,"threshold_uncertainty_score":0.04666877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02431154213719404,"score_gpt":0.2659956087135014,"score_spread":0.2416840665763074,"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."}}