{"id":"W4289550520","doi":"10.1080/14942119.2022.2102346","title":"Comparison of modeling approaches for evaluation of machine fleets in central Sweden forest operations","year":2022,"lang":"en","type":"article","venue":"International Journal of Forest Engineering","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Forwarder; Strengths and weaknesses; Heuristic; Computer science; Plan (archaeology); Logging; Operations research; Relocation; Engineering; Forestry; Artificial intelligence; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005131986,0.00009432069,0.0001986648,0.0004773374,0.00001917499,0.00001469393,0.0002795931,0.00002435747,0.00002698535],"category_scores_gemma":[0.00008262924,0.0001018673,0.00009451091,0.0001465233,0.000008392124,0.0001636023,0.00004825083,0.0001147746,1.154215e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002466638,"about_ca_system_score_gemma":0.00004231563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001864842,"about_ca_topic_score_gemma":0.0002004694,"domain_scores_codex":[0.9985094,0.00001829322,0.0006783274,0.00006772684,0.0006059315,0.0001202963],"domain_scores_gemma":[0.9995155,0.00003067124,0.000110548,0.00007209292,0.0002382192,0.0000329693],"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":[0.00003038255,0.00008917912,0.01268,0.00005180722,0.0001187115,9.913397e-7,0.0004303672,0.9802629,0.0005111232,0.004669222,0.00003856486,0.001116715],"study_design_scores_gemma":[0.001162975,0.00005806037,0.00595432,0.00005294983,0.00003641334,0.000006897176,0.0002632213,0.9912773,0.0007085122,0.0001639617,0.0002365076,0.00007891333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7098556,0.0005529478,0.2884045,0.00004694295,0.0007506711,0.000224823,0.00002970922,0.0000138337,0.0001210006],"genre_scores_gemma":[0.9966795,0.00001621465,0.003123138,0.000003024108,0.000062279,0.00003497765,0.00005657267,0.00001948653,0.000004803527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2868239,"threshold_uncertainty_score":0.4154029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0644611383122896,"score_gpt":0.3092424997507988,"score_spread":0.2447813614385091,"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."}}