{"id":"W4410210369","doi":"10.1080/14942119.2025.2500118","title":"Toward a digital twin to improve the training and performance of forestry operators","year":2025,"lang":"en","type":"article","venue":"International Journal of Forest Engineering","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Training (meteorology); Forestry; Business; Computer science; Operations management; Engineering; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001099226,0.00009997457,0.0001307356,0.0002291871,0.00001203585,0.0001145179,0.0004063334,0.00004220886,0.000003277885],"category_scores_gemma":[0.0001103447,0.00007967785,0.00005408405,0.0001359971,0.00002102008,0.0005984081,0.00004528472,0.0001996297,0.000001105614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005618777,"about_ca_system_score_gemma":0.00003511503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.28289e-7,"about_ca_topic_score_gemma":3.104534e-7,"domain_scores_codex":[0.9992249,0.000001708292,0.0003952772,0.00004810371,0.0002174642,0.0001125708],"domain_scores_gemma":[0.9996215,0.00006671689,0.00004395161,0.00008091779,0.0001353063,0.00005163982],"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":[0.00003691218,0.00001530308,0.01106709,0.0001345059,0.0003394957,0.00001082262,0.001394019,0.9432549,0.001024755,0.003623697,0.0002800053,0.03881843],"study_design_scores_gemma":[0.004540033,0.0009486142,0.142669,0.005602257,0.000139857,0.001055122,0.004921427,0.7368395,0.05618648,0.001557997,0.04423458,0.001305181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788596,0.000098786,0.01713745,0.0002386647,0.0011097,0.00006589494,0.00001750225,0.00002608219,0.002446337],"genre_scores_gemma":[0.9991544,0.00002277314,0.0006409082,0.00002600513,0.0001134435,0.000004636186,0.000001166257,0.00001211032,0.00002448337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2064155,"threshold_uncertainty_score":0.3249168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009829801567117628,"score_gpt":0.2185944812833641,"score_spread":0.2087646797162465,"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."}}