{"id":"W2950428825","doi":"10.1002/bse.2320","title":"Connecting business with the agricultural landscape: business strategies for sustainable rural development","year":2019,"lang":"en","type":"article","venue":"Business Strategy and the Environment","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Sustainability; Business; Sustainable business; Environmental resource management; Agribusiness; Scrutiny; Agriculture; Sustainability organizations; Sustainability science; Sustainable development; Environmental planning; Geography; Economics; Political science; Ecology","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":[0.0005270779,0.000310437,0.000297842,0.00001040832,0.00104514,0.0004373566,0.0003092829,0.0000874647,0.0001493408],"category_scores_gemma":[0.00002308271,0.00007878923,0.0000425946,0.0004510555,0.0001986087,0.0004387513,0.0001520627,0.0001203367,0.00001331451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005207083,"about_ca_system_score_gemma":0.0000677472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002244844,"about_ca_topic_score_gemma":0.0001461888,"domain_scores_codex":[0.9985229,0.00008157445,0.0002569171,0.0003453178,0.0002614583,0.0005318789],"domain_scores_gemma":[0.9991269,0.0003034637,0.0001485045,0.0001103556,0.0002571928,0.00005364044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.01326248,0.0021373,0.1165927,0.004220867,0.001819818,0.0001270965,0.01828787,0.07147915,0.03654769,0.4223034,0.004882836,0.3083387],"study_design_scores_gemma":[0.001277895,0.00005519247,0.9101307,0.00002965059,0.00003320196,0.00001793211,0.06477388,0.0000540295,0.0001169819,0.001241669,0.0219067,0.0003621923],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902572,0.0003176315,0.0001131219,0.005955413,0.00005363794,0.001424004,0.000003789044,0.00004313817,0.001832071],"genre_scores_gemma":[0.9963484,0.00006815929,0.00005287701,0.00008300415,0.00009962191,0.0001976719,0.0001059349,0.00000328541,0.003041038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.793538,"threshold_uncertainty_score":0.8038478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006333217770447331,"score_gpt":0.1688447625627382,"score_spread":0.1625115447922909,"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."}}