{"id":"W2099012813","doi":"10.1139/x04-030","title":"Projecting vector-based road networks with a shortest path algorithm","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sensitivity (control systems); Computer science; Forest road; Shortest path problem; Network planning and design; Transport engineering; Path (computing); Variety (cybernetics); Node (physics); Data mining; Operations research; Algorithm; Engineering; Artificial intelligence; Geography; Telecommunications; Theoretical computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001739208,0.001157228,0.001196908,0.001758513,0.0007462295,0.001192173,0.001632186,0.001205861,0.005437542],"category_scores_gemma":[0.004932995,0.00112383,0.001154111,0.001818232,0.0006363892,0.001703751,0.001514643,0.001570185,0.001269958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001130977,"about_ca_system_score_gemma":0.002359416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01801704,"about_ca_topic_score_gemma":0.01766502,"domain_scores_codex":[0.9991037,0.0003548164,0.00005369003,0.0001885022,0.0002250535,0.00007411669],"domain_scores_gemma":[0.9980941,0.001216155,0.000100174,0.0001565735,0.0003789428,0.00005396156],"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":[0.00002678438,0.00002975808,0.0003355609,0.00003802989,0.00002271408,0.0000220287,0.00003865143,0.9286397,0.0005009531,0.004833688,0.001029168,0.06448305],"study_design_scores_gemma":[0.000008618416,0.00001049493,0.00004268711,0.000003825354,0.000003045217,0.000007184103,0.00001058758,0.9947975,0.000292434,0.004351509,0.0004666224,0.000005538378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005438798,0.00002817978,0.9923552,0.00003733261,0.000008333511,0.00008102541,0.00009841481,0.001185432,0.0007673285],"genre_scores_gemma":[0.06781339,0.0000635642,0.9300476,0.00002611039,0.000009289211,0.0002601422,0.0004504642,0.0002126992,0.001116733],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01801704,"threshold_uncertainty_score":0.03582436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02602293257246115,"score_gpt":0.2809837670364035,"score_spread":0.2549608344639424,"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."}}