{"id":"W2903887606","doi":"10.3390/buildings8120178","title":"Automation of Measuring Actual Productivity of Earthwork in Urban Area, a Case Study from Montreal","year":2018,"lang":"en","type":"article","venue":"Buildings","topic":"BIM and Construction Integration","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earthworks; Global Positioning System; Productivity; Automation; Duration (music); Engineering; Transport engineering; Operations research; Civil engineering; Computer science; Industrial engineering; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009624106,0.0006003896,0.0002667476,0.001169476,0.0007985689,0.0008680248,0.000871741,0.000376904,0.0008292731],"category_scores_gemma":[0.002431844,0.0002117375,0.0002660435,0.00212929,0.0004983693,0.0003817993,0.00043071,0.0002102338,0.00009278672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006546592,"about_ca_system_score_gemma":0.004327163,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.717824,"about_ca_topic_score_gemma":0.8192417,"domain_scores_codex":[0.9993675,0.0001383565,0.00003918255,0.0001475916,0.0002227555,0.0000845146],"domain_scores_gemma":[0.9988683,0.0003391292,0.0001606461,0.0001013323,0.0004579932,0.00007265653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0005015935,0.0006968766,0.2863868,0.0006694153,0.0001757968,0.006032307,0.007032773,0.3900784,0.05449615,0.005418233,0.003543576,0.2449681],"study_design_scores_gemma":[0.00009342589,0.0006053571,0.4203117,0.00007257111,0.0001021751,0.0003625695,0.006430576,0.5430021,0.02068394,0.0005309525,0.007689774,0.0001148005],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747903,0.00008592645,0.01975198,0.0001049377,0.00000716024,0.0002760058,0.0008198378,0.0002404245,0.003923331],"genre_scores_gemma":[0.9840913,0.00007877904,0.01422294,0.000007366472,0.000002093924,0.00005310607,0.0003282147,0.00001377713,0.00120249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.282176,"threshold_uncertainty_score":0.5676755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0143327488059837,"score_gpt":0.2104391430860112,"score_spread":0.1961063942800275,"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."}}