{"id":"W3093052756","doi":"10.22434/ifamr2019.0120","title":"Incorporating producer opinions into a SWOT analysis of the U.S. tart cherry industry","year":2020,"lang":"en","type":"article","venue":"The International Food and Agribusiness Management Review","topic":"Strategic Planning and Analysis","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"College of Engineering, Michigan State University; National Institute of Food and Agriculture; Michigan State University; U.S. Department of Agriculture","keywords":"SWOT analysis; Agribusiness; Strengths and weaknesses; Marketing; Business; Agriculture; 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":[0.0004354724,0.0001805574,0.0003533793,0.0001406604,0.0001902419,0.0001675245,0.0007364927,0.00004128804,0.0001418588],"category_scores_gemma":[0.0001288407,0.00009862726,0.000210924,0.002523267,0.00008116206,0.0003038508,0.00057969,0.0002078296,0.00001386396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001324886,"about_ca_system_score_gemma":0.00001360068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001487707,"about_ca_topic_score_gemma":0.00003784374,"domain_scores_codex":[0.9986901,0.00002096368,0.0004321086,0.0002994931,0.0004289373,0.0001283717],"domain_scores_gemma":[0.9990223,0.00002985087,0.0004818414,0.0002646245,0.0001868888,0.0000145107],"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":[0.0001348651,0.0007126554,0.1548422,0.0228307,0.03107994,0.00003927311,0.0005453245,0.01099466,0.0009678967,0.5957514,0.09440594,0.08769512],"study_design_scores_gemma":[0.001029504,0.00003538296,0.3387068,0.00742683,0.01767921,0.000005147195,0.001327595,0.03167566,0.00005906784,0.007587748,0.5933388,0.00112826],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3338105,0.0224395,0.0007232297,0.5835833,0.001265155,0.002047701,0.00006576126,0.0002479001,0.05581695],"genre_scores_gemma":[0.9867685,0.0009018223,0.00005269652,0.01142762,0.0005260943,0.00003830808,0.00009865819,0.00001020885,0.0001760729],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.652958,"threshold_uncertainty_score":0.4021903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03574593871962866,"score_gpt":0.2553798974999312,"score_spread":0.2196339587803026,"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."}}