{"id":"W3203068053","doi":"10.34220/mmeitsic2021_9-13","title":"DESIGN METHODS FOREST FOREST ROADS BASED ON GIS SYSTEM","year":2021,"lang":"en","type":"article","venue":"","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"Forest road; Computer science; Tracing; Geographic information system; Work (physics); Transport engineering; Operations research; Remote sensing; Engineering; Geography; Forestry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007808532,0.0007251716,0.0003972453,0.001312062,0.0005209355,0.001434532,0.001076653,0.0005234787,0.009636747],"category_scores_gemma":[0.001198938,0.0004348508,0.0007831055,0.00109755,0.0004111767,0.0009892229,0.0006535423,0.0004394457,0.001683747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008369739,"about_ca_system_score_gemma":0.001657331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004322457,"about_ca_topic_score_gemma":0.004432021,"domain_scores_codex":[0.9990546,0.0003054961,0.00007106551,0.0001669728,0.0003567441,0.00004509847],"domain_scores_gemma":[0.9995471,0.0001505545,0.00004641786,0.00004950726,0.0001891663,0.00001719385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001183911,0.00009892869,0.00237277,0.0009865665,0.00007952542,0.0003330988,0.0006028276,0.570356,0.0183485,0.1055284,0.005301398,0.2958736],"study_design_scores_gemma":[0.00004867716,0.0001608455,0.0009660859,0.0001238013,0.0000621468,0.0003205769,0.0003165095,0.8716443,0.01182053,0.02785298,0.08662928,0.00005425349],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00352206,0.00008628462,0.9894027,0.00004465975,0.00001563108,0.0002304562,0.0001902378,0.0006479702,0.005860037],"genre_scores_gemma":[0.08942445,0.0003638285,0.9027427,0.00002456848,0.00001277351,0.000755478,0.0005294759,0.0001329663,0.006013697],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009636747,"threshold_uncertainty_score":0.03223819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02759123028350185,"score_gpt":0.265153771919622,"score_spread":0.2375625416361201,"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."}}