{"id":"W2605332801","doi":"","title":"Lot Creation in Ontario's Agricultural Landscapes: Trends, Impacts and Policy Implications","year":2011,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Agriculture, Food and Rural Affairs; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Agriculture; Natural resource economics; Environmental planning; Regional science; Agricultural economics; Geography; Environmental resource management; Economics; Archaeology","routes":{"ca_aff":false,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001214389,0.0001680152,0.0002270848,0.00007237223,0.0002921272,0.0000256189,0.0003824635,0.0002085145,0.0006713619],"category_scores_gemma":[0.00001160822,0.0000600353,0.0001018768,0.0006317576,0.00004832419,0.0001626585,0.00007086434,0.0002726262,0.00002166659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009706884,"about_ca_system_score_gemma":0.00006294581,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2924644,"about_ca_topic_score_gemma":0.8751276,"domain_scores_codex":[0.9991609,0.00005541578,0.0001360046,0.0002343744,0.0001746445,0.0002386777],"domain_scores_gemma":[0.9994929,0.00006627278,0.0001732243,0.00006365031,0.0001175268,0.00008640043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001075537,0.0005920818,0.1158623,0.0002029291,0.0004042633,0.00002237945,0.04070878,0.000007080367,0.630888,0.00879265,0.03433944,0.1671045],"study_design_scores_gemma":[0.0001396643,0.00008386179,0.9875129,0.00004761254,0.00003547395,0.000004843642,0.006663108,5.804059e-7,0.00006829234,0.0002329346,0.005060859,0.0001498608],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754863,0.0002314608,1.504494e-7,0.003735739,0.00003471813,0.0001952721,0.00004051609,0.00002032653,0.02025547],"genre_scores_gemma":[0.9596432,0.00058913,0.00001817678,0.00001196607,0.00006755273,0.000001041648,0.002210352,8.608555e-7,0.03745765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8716506,"threshold_uncertainty_score":0.7350941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01912745755817195,"score_gpt":0.2298036650897668,"score_spread":0.2106762075315948,"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."}}