{"id":"W2272972494","doi":"","title":"Designing a Forest Road Network Using Mixed Integer Programming","year":2013,"lang":"en","type":"article","venue":"Hrčak Portal of scientific journals of Croatia (University Computing Centre)","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Logging; Integer programming; Forest road; Computer science; Grid; Transport engineering; Overlay; Process (computing); Forest management; Engineering; Geography; Environmental science; Agroforestry; Forestry; Algorithm","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":[0.0005611686,0.0001697124,0.000292876,0.0004117073,0.0002644261,0.0001474396,0.000348126,0.00006702865,0.0002201323],"category_scores_gemma":[0.00002319049,0.0001898766,0.0001585042,0.0009395996,0.000213454,0.000490137,0.0001556441,0.0001313835,0.00001150947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000598662,"about_ca_system_score_gemma":0.00004124234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001134414,"about_ca_topic_score_gemma":0.0001128381,"domain_scores_codex":[0.9984511,0.00004699415,0.0004408953,0.0002209336,0.0003984139,0.0004416215],"domain_scores_gemma":[0.9988745,0.00003212349,0.0003788992,0.0002170096,0.0003390739,0.0001584147],"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":[0.00002029928,0.0002162725,0.07188606,0.0004662429,0.0004688387,0.00007456951,0.003312792,0.8462725,0.02115973,0.002641807,0.01072555,0.04275532],"study_design_scores_gemma":[0.0008179262,0.00003152626,0.04989025,0.000906308,0.0001337611,0.00002281474,0.007100637,0.9362378,0.002554544,0.000208603,0.001646871,0.0004489233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8132898,0.0001558661,0.1845109,0.00002696583,0.0007965695,0.0002462486,0.000002291399,0.00008824888,0.0008831522],"genre_scores_gemma":[0.973155,0.000007393084,0.02658258,0.000004012947,0.00003981795,3.218992e-8,0.00001134174,0.00001798314,0.0001818882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1598652,"threshold_uncertainty_score":0.7742944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01896660572838066,"score_gpt":0.2117652813311552,"score_spread":0.1927986756027745,"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."}}