{"id":"W7062068868","doi":"","title":"Rural non-farm development: An assessment of the creation and impact of non-farm lots on Ontario's agricultural industry","year":2003,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Advanced Power Generation Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Agricultural land; Agricultural productivity; Rural area; Rural community; Rural development; Agricultural machinery","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":[0.0003925837,0.000123662,0.00009328024,0.0009132074,0.002053341,0.001140986,0.0003952514,0.0001927059,0.002317989],"category_scores_gemma":[0.0009860059,0.0001494329,0.0001805177,0.001672038,0.0008408333,0.0004475616,0.0007888456,0.0001350954,0.000143706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01393941,"about_ca_system_score_gemma":0.01057222,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8654249,"about_ca_topic_score_gemma":0.9773617,"domain_scores_codex":[0.9994134,0.00007039762,0.00001416964,0.00002923436,0.0003264865,0.0001464052],"domain_scores_gemma":[0.9989862,0.0001333569,0.0002073359,0.00004192798,0.0004088363,0.0002223403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001532837,0.0001065296,0.9274575,0.0001609001,0.0000298508,0.002061133,0.0252661,0.0008679527,0.00331906,0.001306262,0.001741893,0.03752964],"study_design_scores_gemma":[0.000002842229,0.00008240237,0.9662642,0.00001606501,0.000006653184,0.0001363535,0.02722206,0.000256253,0.000250714,0.00007784776,0.005679566,0.00000502591],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893455,0.0001180186,0.0000755925,0.0001168149,0.000001333196,0.0000434191,0.000212074,0.000002904812,0.01008435],"genre_scores_gemma":[0.9956868,0.0002791822,0.000132846,0.00001556742,0.000001001478,0.00001134617,0.0001411791,0.000001297229,0.003730704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1345751,"threshold_uncertainty_score":0.2707352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008854241427651422,"score_gpt":0.2457800787745064,"score_spread":0.236925837346855,"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."}}