{"id":"W2972777269","doi":"10.1111/1540-6229.12302","title":"Getting High and Low Prices: Marijuana Dispensaries and Home Values","year":2019,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dispensary; Externality; Empirical evidence; Liberalization; Economics; Business; Demographic economics; Medicine; Microeconomics; Market economy; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005483177,0.0002643622,0.0006398738,0.0001821048,0.0001466223,0.0003727016,0.0001668122,0.0001396646,0.0001399752],"category_scores_gemma":[0.00002794096,0.0003286595,0.00006605736,0.00006233,0.0001433841,0.0006617728,0.000189088,0.0001596062,0.0003617654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001359876,"about_ca_system_score_gemma":0.00003018243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001334944,"about_ca_topic_score_gemma":0.0002140415,"domain_scores_codex":[0.998204,0.00001117671,0.0006632074,0.0006605302,0.00001345996,0.0004476519],"domain_scores_gemma":[0.9988952,0.0001624391,0.0004114017,0.0003556909,0.0000135908,0.0001616578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001419715,0.00008972012,0.6570292,0.0004347881,0.0002198509,0.00001242289,0.002602623,0.001063225,0.00002679763,0.2284187,0.000191915,0.1097688],"study_design_scores_gemma":[0.003891279,0.000368283,0.5698382,0.0001025264,0.00005021379,0.0000812753,0.001336033,0.1194948,0.00007063131,0.256138,0.04584445,0.00278426],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.910601,0.0001224228,0.00004225641,0.0002449003,0.0005478075,0.0002146053,0.00009894924,0.00005645522,0.08807161],"genre_scores_gemma":[0.9639202,0.03358669,0.001428935,0.0001375254,0.0001347165,0.000007758439,0.00003954259,0.00006652308,0.0006780984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1184316,"threshold_uncertainty_score":0.9999166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01045933123037777,"score_gpt":0.1814960267411774,"score_spread":0.1710366955107996,"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."}}