{"id":"W4313648343","doi":"10.24908/cpp-apc.v2022i1.15773","title":"British Columbia Divided its Agricultural Land Reserve into Two Zones (2014-2019)","year":2023,"lang":"en","type":"article","venue":"Canadian Planning and Policy / Aménagement et politique au Canada","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"Real Estate Foundation of British Columbia","keywords":"Agriculture; Agricultural land; Mainland; Geography; Legislature; Commission; Land use; Agricultural economics; Government (linguistics); Exclusive economic zone; Diversity (politics); Business; Economics; Political science; Law; Archaeology; Ecology; Finance","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002853936,0.0002453378,0.0003043663,0.00005627042,0.0006902964,0.0007028604,0.0003611346,0.0001176213,0.0003345134],"category_scores_gemma":[0.0001194153,0.0001647863,0.00007063777,0.0005161164,0.00005836999,0.000230163,0.0001427544,0.000177585,0.00003498362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007073443,"about_ca_system_score_gemma":0.0007952854,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999281,"about_ca_topic_score_gemma":0.9999859,"domain_scores_codex":[0.9977235,0.0001175094,0.0003282656,0.000463464,0.0001883366,0.001178986],"domain_scores_gemma":[0.9983776,0.0002003136,0.0001164718,0.00009471042,0.00008454082,0.001126369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000003212913,0.000006725066,0.1036269,0.00003539041,0.00006100345,0.000150348,0.0004669515,0.00009168011,0.0002031661,0.004846546,0.8877184,0.002789699],"study_design_scores_gemma":[0.0001554344,0.00004324491,0.6925609,0.00006190939,0.00001000853,0.00003869436,0.0004859335,0.00002545628,0.000010274,0.0005369016,0.3057233,0.0003479884],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9563513,0.0001925833,4.61071e-8,0.02913266,0.0002255606,0.0002877036,0.001167658,0.0000885293,0.01255393],"genre_scores_gemma":[0.9800333,0.0002253912,0.000006838669,0.006251752,0.001196795,0.0000440045,0.001302829,0.000004934438,0.01093416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5889339,"threshold_uncertainty_score":0.67777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01513701533769538,"score_gpt":0.239352498473994,"score_spread":0.2242154831362987,"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."}}