{"id":"W4392816493","doi":"10.22434/ifamr2022.0167","title":"Farm diversification through agritourism: innovation synergies","year":2024,"lang":"en","type":"article","venue":"The International Food and Agribusiness Management Review","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Diversification (marketing strategy); Livelihood; Business; Agrarian society; Agriculture; Agribusiness; Marketing; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008868426,0.00009287948,0.00009978893,0.0001081853,0.000319731,0.000423457,0.0005361892,0.00002428107,0.0002516017],"category_scores_gemma":[0.00009746734,0.00006213475,0.00004266682,0.0008228648,0.0001407151,0.0004673955,0.0002649182,0.00009977304,0.0001082246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007304364,"about_ca_system_score_gemma":0.00002928887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003261064,"about_ca_topic_score_gemma":0.00005242594,"domain_scores_codex":[0.9986958,0.00006291033,0.0001917555,0.0002189484,0.0006748575,0.0001557431],"domain_scores_gemma":[0.9994924,0.00008114792,0.0000593177,0.0001365713,0.0002124371,0.00001810989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002690798,0.00001896997,0.00001046591,0.0005433938,0.0001257191,0.00001861136,0.0001994785,0.000002413793,0.00001111853,0.8478462,0.04764216,0.1035788],"study_design_scores_gemma":[0.00006500214,0.000009810763,0.0006849714,0.001540873,0.00006489703,0.00000144128,0.0008115869,0.00002478967,0.00001739315,0.0199034,0.9767777,0.00009809965],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009234861,0.09365337,0.001336027,0.4029325,0.002873574,0.001595867,0.00003302874,0.0003472867,0.4879935],"genre_scores_gemma":[0.561946,0.420235,0.000232751,0.001905356,0.0009557772,0.00009246816,0.00008084546,0.0000134761,0.01453827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9291356,"threshold_uncertainty_score":0.4083405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04763726111072693,"score_gpt":0.3460470931578207,"score_spread":0.2984098320470938,"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."}}