{"id":"W4411472993","doi":"10.7771/3067-4883.1915","title":"Advancing Off-Site Construction: Assessing Organizational Maturity and Capabilities in the Canadian Construction Industry","year":2025,"lang":"en","type":"article","venue":"CIB Conferences","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of New Brunswick","funders":"National Research Council Canada; University of Waterloo; University of Alberta","keywords":"Maturity (psychological); Construction industry; Business; Capability Maturity Model; Process management; Engineering; Construction engineering; Computer science; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001680846,0.000130492,0.0001864011,0.0006600819,0.0007048367,0.001247884,0.0003318316,0.000166557,0.000688531],"category_scores_gemma":[0.0009348326,0.00009551736,0.00002519126,0.001443736,0.0007038366,0.0007673988,0.0000706093,0.0004213284,0.00001285609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008689568,"about_ca_system_score_gemma":0.001317447,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008993897,"about_ca_topic_score_gemma":0.1510566,"domain_scores_codex":[0.9982664,0.0002173785,0.0004480784,0.0003595007,0.0004756868,0.0002329569],"domain_scores_gemma":[0.9986902,0.000512568,0.0001404309,0.0002561806,0.0003397158,0.00006092724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000255283,0.000003406232,0.7964985,0.000008722742,0.000005633588,0.000001478607,0.0005524755,0.00001073567,0.000005134292,0.1235227,0.0004585492,0.07893017],"study_design_scores_gemma":[0.0003575965,0.00001362093,0.7603807,0.00008772557,0.00001848974,0.00007529867,0.04407589,0.001685745,0.00006264546,0.1440634,0.04895777,0.0002211604],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9170696,0.0002007032,0.0002800492,0.005273248,0.001140987,0.0001983778,0.00001217516,0.00002550039,0.07579941],"genre_scores_gemma":[0.9981185,0.00003990707,0.0009064587,0.0004514376,0.00006052127,0.00001061191,0.000007734896,0.000002578402,0.000402222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1420627,"threshold_uncertainty_score":0.9997889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03827217113092435,"score_gpt":0.3324114681798269,"score_spread":0.2941392970489026,"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."}}