{"id":"W7007882298","doi":"","title":"Analyzing the defensibility of visual simulations through post construction appraisal for Dundas Square and HtO Park","year":2009,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reliability (semiconductor); Set (abstract data type); Process (computing); Square (algebra); Visual inspection; Validity","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":[0.0347266,0.0003547658,0.0003845716,0.002478016,0.002312296,0.003575928,0.001220988,0.0004960872,0.002430351],"category_scores_gemma":[0.11054,0.0003966149,0.0002815005,0.00176215,0.003286941,0.001467732,0.002172225,0.0009942974,0.000351543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006285436,"about_ca_system_score_gemma":0.004941093,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01049965,"about_ca_topic_score_gemma":0.03199426,"domain_scores_codex":[0.9777359,0.01223411,0.0009112799,0.0007279866,0.007497625,0.0008932251],"domain_scores_gemma":[0.8603956,0.08392858,0.00947006,0.005767168,0.03846791,0.00197073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00163697,0.001114372,0.2060808,0.0006959256,0.00005700609,0.001622489,0.5034342,0.003528901,0.008761185,0.008238775,0.003845914,0.2609834],"study_design_scores_gemma":[0.0001253066,0.003441529,0.5111242,0.0006457749,0.0001038643,0.0004025036,0.4219495,0.01004022,0.01437565,0.00313476,0.03450159,0.0001551322],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890522,0.00004042673,0.00140938,0.0001964648,0.00001426159,0.0002228574,0.00004403986,0.00001336147,0.009006904],"genre_scores_gemma":[0.9947311,0.00007005203,0.002879239,0.00001691561,0.000005398346,0.0001629782,0.00007440476,0.00001346141,0.002046433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9895003,"threshold_uncertainty_score":0.183654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066175232404889,"score_gpt":0.247103159407349,"score_spread":0.2364414070833001,"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."}}