{"id":"W3152953590","doi":"10.2139/ssrn.3607876","title":"Location, Location, Location: Manufacturing and House Price Growth","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Business; Location theory; Transport engineering; Industrial organization; Economic geography; Geography; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005288396,0.0003311444,0.0003251394,0.0005020517,0.0002775796,0.001879765,0.0005358804,0.001221721,0.01804267],"category_scores_gemma":[0.003630299,0.0001502184,0.0006206429,0.001594195,0.0005202571,0.001524582,0.0008025342,0.001023,0.002138422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004890405,"about_ca_system_score_gemma":0.0006701448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02429083,"about_ca_topic_score_gemma":0.03121936,"domain_scores_codex":[0.999709,0.0001156429,0.00001946546,0.00005405175,0.0000338086,0.00006804476],"domain_scores_gemma":[0.9926097,0.004121511,0.001736109,0.0002435359,0.0003040715,0.0009850179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007632177,0.0002753926,0.9686608,0.00008182581,0.0003448571,0.0009534656,0.0002960203,0.005731592,0.001220873,0.002752805,0.00312943,0.0157897],"study_design_scores_gemma":[0.00003562381,0.0003370083,0.9742657,0.00003849186,0.0003212218,0.0003170314,0.001556109,0.01528594,0.0006635843,0.00415539,0.002993474,0.00003054235],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862034,0.002112976,0.001802346,0.001911752,0.00007348318,0.000009976356,0.001335481,0.00008415163,0.006466365],"genre_scores_gemma":[0.9953424,0.0003683861,0.0001013799,0.00003918994,0.00006413359,0.000003486944,0.0003116595,0.00001068748,0.003758738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02429083,"threshold_uncertainty_score":0.0603587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01350920001783946,"score_gpt":0.1857013398836114,"score_spread":0.1721921398657719,"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."}}