{"id":"W4415586104","doi":"10.21083/crrf.v31i1.7330","title":"Agritourism as a Solution to Rural Revitalization: The Case Study of North Durham Region","year":2023,"lang":"","type":"article","venue":"Proceedings of the Canadian Rural Revitalization Foundation","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Agriculture; Urbanization; Livestock; Rural settlement; Rural area; Rural development; Agricultural productivity; Cornerstone","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001018091,0.0003684937,0.0003300775,0.0006139492,0.01830451,0.002580601,0.001920096,0.001701773,0.003127818],"category_scores_gemma":[0.001747688,0.0002842476,0.00021928,0.001190493,0.005110218,0.00103821,0.00419515,0.001666494,0.0002225091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02853721,"about_ca_system_score_gemma":0.02183597,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7934309,"about_ca_topic_score_gemma":0.9583236,"domain_scores_codex":[0.9979333,0.000847956,0.00003052372,0.0001182693,0.0001919337,0.0008780375],"domain_scores_gemma":[0.9984353,0.0003907356,0.0001376129,0.00006990517,0.0002380663,0.0007284224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00006979746,0.0002057643,0.02220009,0.0002964281,0.00001765219,0.03480963,0.8961942,0.0003491493,0.001944943,0.01565531,0.005880468,0.02237658],"study_design_scores_gemma":[0.000005478472,0.00006469149,0.01252891,0.00009453759,0.000007833538,0.001217067,0.9262248,0.0001672407,0.0002596269,0.0003082126,0.05910587,0.00001573887],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9667397,0.0006985538,0.0003021794,0.003126665,0.00004325572,0.0001006762,0.00004022098,0.00000934438,0.02893952],"genre_scores_gemma":[0.9863859,0.0007508344,0.000401689,0.0005670758,0.00001036007,0.00004361801,0.00001922564,0.000009011846,0.01181209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2065691,"threshold_uncertainty_score":0.4155712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04202114580984923,"score_gpt":0.2855486293532823,"score_spread":0.2435274835434331,"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."}}