{"id":"W4414560239","doi":"10.1007/s10342-025-01824-y","title":"Idle times of forest machine and truck fleets in Finnish logging and timber-hauling enterprises","year":2025,"lang":"en","type":"article","venue":"European Journal of Forest Research","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Kuopion Yliopistollinen Sairaala; Itä-Suomen Yliopisto","keywords":"Idle; Truck; Logging; Data logger; Work (physics); Quarter (Canadian coin); Work time","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001461926,0.0001026697,0.0001919493,0.0007270433,0.00005377773,0.00006984566,0.0001994247,0.00002018946,0.00003519128],"category_scores_gemma":[0.000135604,0.00009093948,0.00003492893,0.0002945079,0.0001236666,0.0001333722,0.0001781563,0.0002797088,0.000003535303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003303618,"about_ca_system_score_gemma":0.00002044643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001340619,"about_ca_topic_score_gemma":0.0001652713,"domain_scores_codex":[0.998799,0.0001769927,0.000425974,0.0001105607,0.0002548918,0.000232565],"domain_scores_gemma":[0.9995308,0.0001164541,0.00005864822,0.0001240154,0.00008999911,0.00008007453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000182525,0.0001093311,0.9328133,0.001029083,0.0001518828,0.0005025495,0.0008441572,0.03005249,0.0007377919,0.004549017,0.007326264,0.02170158],"study_design_scores_gemma":[0.002234205,0.000335763,0.9282843,0.001186019,0.00002234328,0.0000522413,0.000410121,0.03513016,0.000750677,0.001293167,0.03011715,0.0001838899],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9570342,0.003637711,0.002475863,0.0001871512,0.0001165063,0.0001354488,0.000002889285,0.00001865706,0.03639162],"genre_scores_gemma":[0.9978073,0.0009647636,0.0006600586,0.00001622766,0.0000309968,8.458053e-7,0.000002101419,0.00002056847,0.0004971596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04077312,"threshold_uncertainty_score":0.3708405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02051188401964132,"score_gpt":0.288395279111178,"score_spread":0.2678833950915367,"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."}}