{"id":"W1511056075","doi":"","title":"Living on a Noisy and Dusty Street: Implications for Environmental Evaluation","year":2004,"lang":"en","type":"preprint","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Ministère des Transports","keywords":"Context (archaeology); Hedonic pricing; Valuation (finance); Humanities; Welfare economics; Geography; Economics; Art; Econometrics; Archaeology; Finance","routes":{"ca_aff":true,"ca_fund":true,"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":[0.04401822,0.000989206,0.001762951,0.001373838,0.001831308,0.008540482,0.002163055,0.002221287,0.009628917],"category_scores_gemma":[0.1561033,0.000577851,0.001096996,0.002575429,0.003574464,0.004930271,0.003261772,0.001325489,0.0009335072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00229682,"about_ca_system_score_gemma":0.002695781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01214351,"about_ca_topic_score_gemma":0.02330345,"domain_scores_codex":[0.9470424,0.04239095,0.00195781,0.002720158,0.005310612,0.0005779993],"domain_scores_gemma":[0.8162577,0.1589117,0.006587022,0.007961462,0.009350124,0.0009321198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0035428,0.003405006,0.2412402,0.004578896,0.0011162,0.0006826132,0.01485428,0.03094638,0.009555293,0.03540564,0.007876639,0.6467961],"study_design_scores_gemma":[0.0009624051,0.008851893,0.5358429,0.005117282,0.00143566,0.0009573658,0.06313192,0.1139556,0.02934129,0.162118,0.0770975,0.0011881],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6207069,0.006060282,0.3146471,0.009543312,0.0009123355,0.003932429,0.002164012,0.0003173076,0.04171627],"genre_scores_gemma":[0.8169095,0.002418867,0.1689739,0.001504595,0.0002589817,0.002910574,0.0007429186,0.0001576604,0.006122974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04401822,"threshold_uncertainty_score":0.2327934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03285455049886999,"score_gpt":0.2306623292860769,"score_spread":0.197807778787207,"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."}}