{"id":"W4406995874","doi":"10.1017/aae.2024.39","title":"Beyond Borders: An Empirical Analysis of the “Fresh From Florida” State Marketing Program","year":2025,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Marketing; Business; Agricultural economics; Regional science; Economics; Geography; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002625886,0.0001746169,0.0004547292,0.00002408325,0.0001719863,0.0001233689,0.0003606973,0.0001052836,0.00005920928],"category_scores_gemma":[0.00001911278,0.00004684701,0.0002662383,0.0006953769,0.00006932336,0.0001614884,0.0001111322,0.000226061,5.89439e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003125321,"about_ca_system_score_gemma":0.00001492589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004406977,"about_ca_topic_score_gemma":0.0009102031,"domain_scores_codex":[0.9988781,0.00005729401,0.0005544389,0.0002148107,0.0001040199,0.0001913459],"domain_scores_gemma":[0.9990888,0.0001761715,0.0004821128,0.00005696254,0.00009543241,0.0001005418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007391004,0.00126672,0.1428828,0.00005355146,0.00551375,0.000001744791,0.001656758,0.005100951,0.3123139,0.001136104,0.01924088,0.5100937],"study_design_scores_gemma":[0.0001890616,0.0001017531,0.9901066,0.00001768382,0.0003882935,0.000003728491,0.001980519,0.00002204635,0.003984089,0.0005051171,0.002569079,0.0001320692],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953329,0.0001967071,4.016239e-7,0.003439706,0.0001713222,0.0001561866,0.000082507,0.00001322989,0.0006070388],"genre_scores_gemma":[0.9989612,0.0001828104,0.0002072955,0.0002512534,0.0002720658,0.00000305357,0.00003803136,6.90701e-7,0.00008367757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8472238,"threshold_uncertainty_score":0.1910365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007868118777787515,"score_gpt":0.2197319941022754,"score_spread":0.2118638753244879,"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."}}