{"id":"W7024364430","doi":"","title":"The role of market intelligence in enhancing regional buyer-supplier relationships in agri-food SMEs","year":2023,"lang":"en","type":"article","venue":"Research Portal (Queen's University Belfast)","topic":"Competitive and Knowledge Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Product (mathematics); Rationalisation; Extant taxon; Market intelligence; Empirical research; Qualitative research; Retail industry; Supplier relationship management; New product development; Customer relationship management; Retail market","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":[0.002296694,0.0001350211,0.0001772594,0.001183412,0.0004353205,0.0000761564,0.0006269323,0.00009158231,0.0003826248],"category_scores_gemma":[0.0006069897,0.0001278469,0.00008179024,0.003366071,0.0002901911,0.0006142475,0.0006211725,0.0006985364,0.000320023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001029462,"about_ca_system_score_gemma":0.0001414021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001877715,"about_ca_topic_score_gemma":0.007349518,"domain_scores_codex":[0.9980595,0.0001445865,0.0003058244,0.0003438235,0.0005846922,0.0005615914],"domain_scores_gemma":[0.9981698,0.001008023,0.0001060714,0.0002809836,0.0004045598,0.0000305324],"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":[0.0003165687,0.0002257901,0.3418474,0.0001578229,0.00004939095,0.0002890314,0.0007658747,0.0002135133,0.0003328346,0.6391503,0.005999908,0.0106516],"study_design_scores_gemma":[0.0004292838,0.00008045453,0.5925105,0.0006199419,0.00001633466,0.000002322835,0.07322168,0.004774617,0.001505499,0.05305078,0.2732827,0.0005058765],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7632389,0.0001281535,0.0001807122,0.00306461,0.0001302156,0.0006690779,0.00001235669,0.00009650605,0.2324794],"genre_scores_gemma":[0.9934286,0.0002832653,0.00002272322,0.0000118131,0.0001185013,0.000004391185,0.00001940647,0.00001320779,0.006098113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5860995,"threshold_uncertainty_score":0.5213447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03619239817927358,"score_gpt":0.27107952613331,"score_spread":0.2348871279540365,"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."}}