{"id":"W7095461068","doi":"","title":"A SURVEY ON THE IMPACT OF INFORMATION TECHNOLOGY ON THE CANADIAN ARCHITECTURE, ENGINEERING AND CONSTRUCTION INDUSTRY","year":2000,"lang":"en","type":"article","venue":"","topic":"Irish and British Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Information technology; Investment (military); Quality (philosophy); The Internet; Construction management; Construction industry; Cost reduction","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":[0.001263547,0.0002215716,0.0001888877,0.005235603,0.002128412,0.001820905,0.0005117825,0.0004947442,0.007353762],"category_scores_gemma":[0.004446828,0.0002063875,0.0002223699,0.01425983,0.0005859321,0.0008405425,0.0007172378,0.0005504794,0.001029726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01584632,"about_ca_system_score_gemma":0.02853698,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9357159,"about_ca_topic_score_gemma":0.9628488,"domain_scores_codex":[0.9972403,0.0001331274,0.0001369539,0.00009172456,0.001816963,0.0005809341],"domain_scores_gemma":[0.9899359,0.001052009,0.001159644,0.0001019913,0.006056004,0.001694339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001434164,0.0001227811,0.6926981,0.001834088,0.00004784251,0.0004843937,0.01861513,0.0002458562,0.002334616,0.001931743,0.08760723,0.1939349],"study_design_scores_gemma":[0.000003301111,0.00006534806,0.8719207,0.0002844685,0.000009663728,0.0001313978,0.01413621,0.00009955736,0.0001749065,0.00003751836,0.1131114,0.00002558818],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.859216,0.0127447,0.0003611843,0.009443276,0.0001546417,0.0002455101,0.01901238,0.00008956151,0.09873259],"genre_scores_gemma":[0.9265068,0.02893512,0.0006781774,0.002056381,0.00005639045,0.00009168467,0.008754409,0.00002875177,0.03289223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06428409,"threshold_uncertainty_score":0.1293253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01124287662996833,"score_gpt":0.2437031496936309,"score_spread":0.2324602730636626,"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."}}