{"id":"W7094036727","doi":"","title":"What comes first : residential or commercial development? Measuring the causal links for a Canadian city over a century","year":2016,"lang":"en","type":"article","venue":"Corpus Université Laval (Université Laval)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Test (biology); Causality (physics); Granger causality; Period (music); Residential property; Causation","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":[0.001126408,0.0003769524,0.0003851684,0.004872335,0.003908375,0.003671448,0.001869093,0.0009844749,0.005838452],"category_scores_gemma":[0.006939328,0.0002954254,0.0007053972,0.01055909,0.001494098,0.002000987,0.002352488,0.001769905,0.0005321101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03463091,"about_ca_system_score_gemma":0.04961197,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953156,"about_ca_topic_score_gemma":0.9980602,"domain_scores_codex":[0.99898,0.0000764638,0.00004464851,0.0001795014,0.000378438,0.0003409386],"domain_scores_gemma":[0.9930145,0.0006169795,0.001189326,0.0002797187,0.003574824,0.001324632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003726754,0.00004972378,0.9699193,0.00006537652,0.000131968,0.00009748126,0.003544675,0.0006656516,0.0001129956,0.004171863,0.008794746,0.01240887],"study_design_scores_gemma":[0.000003495707,0.00001078001,0.9725384,0.00009834993,0.00007721157,0.00002666557,0.007559284,0.0010065,0.0001416952,0.0005386657,0.01796721,0.00003184434],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9360446,0.003289308,0.001547749,0.006308516,0.0001341131,0.00009589688,0.02221637,0.00005670886,0.03030672],"genre_scores_gemma":[0.9875914,0.001146433,0.0007535755,0.0002043242,0.0000284809,0.0000444734,0.00470808,0.00002049927,0.005502786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03463091,"threshold_uncertainty_score":0.251266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02554804225490129,"score_gpt":0.1831969589842473,"score_spread":0.157648916729346,"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."}}