{"id":"W2786387705","doi":"10.1139/cjce-2017-0359","title":"Location-based planning and scheduling of highway construction projects in hilly terrain using GIS","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"BIM and Construction Integration","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Terrain; Plan (archaeology); Geographic information system; Transport engineering; Computer science; Scheduling (production processes); Variety (cybernetics); Engineering; Geography; Remote sensing; Cartography; Operations management","routes":{"ca_aff":false,"ca_fund":false,"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":[0.0005352206,0.0003342531,0.0003252004,0.001048983,0.0006316837,0.0007050819,0.0004781061,0.0002409395,0.001965219],"category_scores_gemma":[0.0007958395,0.0003404917,0.0003493485,0.001169701,0.0004438093,0.0005346129,0.0006741079,0.0002245739,0.0003013823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001198151,"about_ca_system_score_gemma":0.003210988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03032138,"about_ca_topic_score_gemma":0.05423283,"domain_scores_codex":[0.9996557,0.0001272048,0.00002408715,0.00004427947,0.00009275832,0.00005599859],"domain_scores_gemma":[0.9996532,0.0001107945,0.00007005288,0.00003699655,0.0000829147,0.00004596384],"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":[0.00006357324,0.00005110967,0.00440457,0.00008136556,0.00002014984,0.0003038172,0.000391881,0.9292754,0.004323424,0.00617219,0.001134201,0.05377822],"study_design_scores_gemma":[0.00002449571,0.0001104441,0.005697588,0.00002262358,0.00002282117,0.0000881766,0.001183817,0.9793819,0.00368866,0.004163059,0.005588213,0.00002810735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2973194,0.0002471457,0.6811762,0.0002284475,0.00002557787,0.0007385967,0.0009182864,0.001753975,0.01759225],"genre_scores_gemma":[0.7448286,0.0002583622,0.251669,0.000009850633,0.000004695189,0.0002483631,0.0004485899,0.00005577188,0.002476783],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03032138,"threshold_uncertainty_score":0.0602898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118526872841732,"score_gpt":0.2001879219254669,"score_spread":0.1890026531970496,"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."}}