{"id":"W4391382594","doi":"10.1109/wsc60868.2023.10407242","title":"Hybrid Approaches For Handling Mobile Crane Location Problems In Construction Sites","year":2023,"lang":"en","type":"article","venue":"","topic":"BIM and Construction Integration","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Boom; Modular design; Heuristics; Lift (data mining); Bridge (graph theory); Computer science; Plan (archaeology); Grid; Engineering; Mathematical optimization; Mathematics","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":[0.001220724,0.001419939,0.001420166,0.001790342,0.0007700444,0.002015276,0.002480419,0.001816495,0.004662194],"category_scores_gemma":[0.002155726,0.000963702,0.001576132,0.002171775,0.0008458304,0.001645222,0.002069145,0.001304205,0.0006031716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009882485,"about_ca_system_score_gemma":0.0014434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005589395,"about_ca_topic_score_gemma":0.008232959,"domain_scores_codex":[0.9993463,0.0002322626,0.00003408116,0.0001173512,0.0001456597,0.0001242533],"domain_scores_gemma":[0.9987754,0.0008066743,0.0001241347,0.00009874292,0.0001180488,0.00007698574],"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":[0.00003648566,0.00007082751,0.000445097,0.0001359293,0.00005226101,0.00009329672,0.00007229565,0.9600417,0.0009588141,0.01147569,0.0005711259,0.0260464],"study_design_scores_gemma":[0.0000138113,0.00004156008,0.00009732902,0.00001657299,0.00001606803,0.00003532157,0.0000627872,0.9916353,0.0003220899,0.006622635,0.001128605,0.000007888271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01860125,0.000477471,0.9758499,0.0001430814,0.00004689221,0.0001274976,0.00008874389,0.000247111,0.004418019],"genre_scores_gemma":[0.368908,0.0007032303,0.6256051,0.0001111322,0.00007908478,0.0004680188,0.0002851178,0.0001670436,0.003673299],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005589395,"threshold_uncertainty_score":0.01559657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02875393550814201,"score_gpt":0.2141457292871405,"score_spread":0.1853917937789985,"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."}}