{"id":"W2154475797","doi":"","title":"Hobby Farm's and British Columbia's Agricultural Land Reserve","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hobby; Zoning; Agriculture; Agricultural land; Agricultural economics; Geography; Land use; Trophy; Business; Economics; Civil engineering; Engineering","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":[0.0002190524,0.0002233589,0.0002796079,0.001049405,0.001214418,0.002068777,0.001023739,0.0004545202,0.01412807],"category_scores_gemma":[0.002105638,0.0002092616,0.0002663021,0.004057279,0.0004954641,0.000721689,0.0006086494,0.0005746684,0.001012817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01656965,"about_ca_system_score_gemma":0.01041831,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9841555,"about_ca_topic_score_gemma":0.99274,"domain_scores_codex":[0.9995783,0.00003947845,0.00001225257,0.00007542851,0.0001790893,0.0001154181],"domain_scores_gemma":[0.9984262,0.0003223321,0.000197773,0.000089033,0.0006008419,0.0003638522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005421037,0.0002719347,0.7657575,0.0004656446,0.0002091144,0.001421998,0.002771039,0.02675491,0.001211084,0.01950198,0.09860183,0.08249085],"study_design_scores_gemma":[0.00001976344,0.00002583582,0.9338979,0.00004991777,0.00002320602,0.0001452689,0.003288267,0.0150546,0.0002187056,0.001013093,0.0462242,0.00003937423],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.84375,0.00127059,0.001687487,0.001882586,0.00004440825,0.0001437341,0.0607619,0.0001601478,0.09029917],"genre_scores_gemma":[0.9069188,0.0007121626,0.001473119,0.0001479384,0.00001000127,0.00009650499,0.01822012,0.00004659334,0.07237468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01656965,"threshold_uncertainty_score":0.1202218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03300798946939287,"score_gpt":0.2465550427245682,"score_spread":0.2135470532551753,"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."}}