{"id":"W1526197734","doi":"10.22004/ag.econ.6840","title":"Strategic Planning - Niche Marketing in the Agriculture Industry","year":2008,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Business Strategies and Innovation","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Marketing; Business; Flexibility (engineering); Adaptability; Value (mathematics); Adaptation (eye); Strategic planning; Niche; Resource (disambiguation); Agriculture; Value chain; Process (computing); Critical success factor; Strategic management; Industrial organization; Supply chain; Economics; Geography; Management; Ecology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00123409,0.0002978394,0.0003857963,0.0004874282,0.0003724369,0.0002408014,0.001063634,0.0006942308,0.0004185125],"category_scores_gemma":[0.00004953463,0.0002707839,0.0001346045,0.001156537,0.0001960512,0.0009791361,0.0008098242,0.002033326,0.00005495242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006145876,"about_ca_system_score_gemma":0.0001354895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005796053,"about_ca_topic_score_gemma":0.0007026595,"domain_scores_codex":[0.9981984,0.00009254354,0.0002840683,0.0004845668,0.0005132281,0.0004271742],"domain_scores_gemma":[0.9986245,0.0001155174,0.0004549722,0.000414033,0.0003763835,0.00001459726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00164069,0.001997652,0.5117645,0.01480252,0.0009150211,0.005933322,0.01499137,0.05097407,0.003819332,0.06960399,0.2949272,0.02863034],"study_design_scores_gemma":[0.001358666,0.00002556228,0.8770907,0.001189375,0.0001101991,0.00002891678,0.08066086,0.008720179,0.00001264021,0.001596137,0.02824668,0.0009601048],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9255551,0.0001276086,0.00003563432,0.002709209,0.0001983022,0.0003718367,0.00001227903,0.00003566603,0.07095444],"genre_scores_gemma":[0.9979435,0.0001888249,0.0001387607,0.0003033811,0.0005501008,0.000001602069,0.0002387987,0.0000174337,0.0006176534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3653261,"threshold_uncertainty_score":0.9999744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07337356735756398,"score_gpt":0.2441142226425658,"score_spread":0.1707406552850018,"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."}}