{"id":"W2741022164","doi":"10.2495/sdp-v13-n1-139-150","title":"Investigating benefits and criticisms of BIM for construction scheduling in SMES: An Italian case study","year":2018,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"BIM and Construction Integration","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scheduling (production processes); Business; Architectural engineering; Construction engineering; Operations management; Computer science; Process management; Engineering; Operations research; Risk analysis (engineering); Environmental economics; Economics","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":[0.007527405,0.0003549165,0.0003566086,0.001400313,0.002110581,0.002141896,0.0009985903,0.001670647,0.001937721],"category_scores_gemma":[0.01340368,0.0002267785,0.0004804866,0.003087647,0.001984189,0.001029861,0.002151458,0.0008154813,0.0003676518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00347183,"about_ca_system_score_gemma":0.001743003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009770396,"about_ca_topic_score_gemma":0.01593355,"domain_scores_codex":[0.9943728,0.003965116,0.0002924799,0.0002425566,0.0007334663,0.0003934617],"domain_scores_gemma":[0.9900693,0.006889507,0.0008776819,0.0008710964,0.0009173394,0.0003751362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.002409982,0.003679313,0.2866073,0.003011273,0.0001902557,0.05597956,0.2647057,0.05545747,0.0178786,0.06437481,0.01124351,0.2344623],"study_design_scores_gemma":[0.0003616551,0.004512114,0.2882549,0.002751302,0.0004253712,0.0104167,0.4305071,0.06936914,0.02020141,0.01182286,0.1610691,0.0003083646],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977433,0.0002967592,0.00504508,0.001243117,0.00001775225,0.000140168,0.00008420744,0.00002941078,0.01571055],"genre_scores_gemma":[0.9951137,0.0003446256,0.0032441,0.00009362724,0.00001012252,0.00008089243,0.00004247765,0.00001183863,0.001058696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009770396,"threshold_uncertainty_score":0.03980923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02419372594221827,"score_gpt":0.2770582617994716,"score_spread":0.2528645358572534,"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."}}