{"id":"W2068269209","doi":"10.7202/050008ar","title":"A Real Estate Agency's Level Analysis of the Climate-Performance Relationship","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agency (philosophy); Variance (accounting); Work (physics); Econometrics; Real estate; Analysis of variance; Statistics; Psychology; Environmental science; Mathematics; Economics; Accounting; Engineering; Sociology; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0007489228,0.0001613672,0.0002307778,0.0009060265,0.0003640486,0.0006464121,0.0001232965,0.0001608768,0.006946567],"category_scores_gemma":[0.003172514,0.00009707707,0.0003126662,0.001515361,0.0001979155,0.000259853,0.0003646481,0.0003602763,0.0008525809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004530013,"about_ca_system_score_gemma":0.0005331673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01298919,"about_ca_topic_score_gemma":0.02278423,"domain_scores_codex":[0.9993713,0.0002792627,0.00003277698,0.00008815274,0.0001348073,0.00009362937],"domain_scores_gemma":[0.9969476,0.001406871,0.0004114638,0.000307106,0.000666711,0.0002602922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002382409,0.0002445304,0.9773353,0.00003278934,0.000149778,0.0001024946,0.0004735064,0.001653191,0.001741743,0.0007734913,0.001113786,0.0161411],"study_design_scores_gemma":[0.000003435523,0.0001659118,0.996654,0.000001741411,0.00001832343,0.00002630988,0.0003238488,0.001560336,0.0003369582,0.00008576269,0.0008186454,0.000004756624],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948973,0.00002270259,0.0006033859,0.00004670305,0.000004571113,0.0000130038,0.0006134855,0.00002508881,0.003773808],"genre_scores_gemma":[0.9964164,0.00002168073,0.0006029931,0.00001096082,0.000006307155,0.00001403471,0.0005022203,0.00000425696,0.002420983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01298919,"threshold_uncertainty_score":0.02582717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1721833945022776,"score_gpt":0.3571674308836201,"score_spread":0.1849840363813425,"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."}}