{"id":"W1986519255","doi":"10.1108/02632770010315733","title":"Accommodating future business intelligence: new work‐space and work‐time challenges for management and design","year":2000,"lang":"en","type":"article","venue":"Facilities","topic":"BIM and Construction Integration","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Workplace Health, Safety and Compensation Commission","funders":"","keywords":"Agile software development; Facility management; Work (physics); Space (punctuation); Knowledge management; Process management; Engineering management; Business intelligence; Duration (music); Quality (philosophy); Computer science; Engineering; Business; Marketing","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":[0.008638913,0.0006722263,0.0008285594,0.001673349,0.005577315,0.02219334,0.002571347,0.004704271,0.004412182],"category_scores_gemma":[0.005575746,0.0008256166,0.0006144353,0.001974157,0.01407836,0.02945407,0.0106614,0.005123353,0.001611607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003473246,"about_ca_system_score_gemma":0.004877958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001692207,"about_ca_topic_score_gemma":0.002491938,"domain_scores_codex":[0.9946755,0.002359635,0.0002316479,0.0004384563,0.00164666,0.0006480372],"domain_scores_gemma":[0.9955472,0.001825802,0.0003618548,0.0007429929,0.0005655233,0.0009566274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002220483,0.00004485349,0.0005435843,0.0001742717,0.000016804,0.0001362437,0.005937325,0.002510504,0.0004195956,0.8907568,0.01128106,0.08815677],"study_design_scores_gemma":[0.000009388151,0.00003309662,0.0003535762,0.0001754828,0.000008469621,0.0002142046,0.007917975,0.004208651,0.0002625046,0.718294,0.2684835,0.00003910092],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03644162,0.01893721,0.5507301,0.1479396,0.001811681,0.0001052228,0.00009664764,0.0006629266,0.243275],"genre_scores_gemma":[0.6815218,0.01947501,0.2531229,0.009429374,0.002107431,0.0005136848,0.0001953184,0.0004270224,0.03320751],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02219334,"threshold_uncertainty_score":0.0456875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02345413247826746,"score_gpt":0.2026166400976407,"score_spread":0.1791625076193732,"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."}}