{"id":"W2156885087","doi":"10.1061/9780784412329.032","title":"Continuous Process Planning and Controlling Techniques for Construction Productivity Performance Enhancement","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"BIM and Construction Integration","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Productivity; Mainstream; Documentation; Objectivity (philosophy); Process (computing); Accountability; Process management; Control (management); Knowledge management; Computer science; Engineering; Management science; Political science; Economics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002594759,0.0008739304,0.0004097891,0.00184265,0.0006285692,0.001963419,0.0009835276,0.0004486163,0.002426913],"category_scores_gemma":[0.003932298,0.000422188,0.0005554042,0.002090605,0.00121553,0.001508261,0.0009920369,0.001084015,0.0004205941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008346416,"about_ca_system_score_gemma":0.002277624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002648748,"about_ca_topic_score_gemma":0.003084652,"domain_scores_codex":[0.9981559,0.0005314802,0.00009817852,0.0003116134,0.000796066,0.0001067671],"domain_scores_gemma":[0.9973109,0.001513234,0.0004048186,0.0003754358,0.0003417808,0.00005383079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002565217,0.0002968004,0.002516747,0.0006665008,0.00004807101,0.0001057299,0.001596957,0.0591298,0.04906588,0.04391998,0.001598246,0.8407987],"study_design_scores_gemma":[0.0002946635,0.002689542,0.01521664,0.0006771068,0.0005052584,0.0007789687,0.002353937,0.5944127,0.2256254,0.06993487,0.08719815,0.000312713],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01425568,0.0005914961,0.9793244,0.0001146891,0.00002130713,0.0001131057,0.00002366809,0.0009705453,0.004585044],"genre_scores_gemma":[0.3934705,0.0009722069,0.6028278,0.00003712122,0.00002930504,0.0002251184,0.0000809132,0.000127214,0.0022299],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002648748,"threshold_uncertainty_score":0.01372254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03113701134492177,"score_gpt":0.3228043844898021,"score_spread":0.2916673731448804,"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."}}