{"id":"W4411061423","doi":"10.22214/ijraset.2025.71734","title":"Agri-Vibrant an Agri Business Portal","year":2025,"lang":"en","type":"article","venue":"International Journal for Research in Applied Science and Engineering Technology","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Business; Business administration","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":[0.002620301,0.00008539133,0.0001132837,0.0005063523,0.0002564515,0.0002152327,0.001096768,0.000102557,0.00001290716],"category_scores_gemma":[0.0005454019,0.000041927,0.00001875214,0.001989568,0.00042704,0.0002063542,0.0002382186,0.0004394089,0.000001519642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001444187,"about_ca_system_score_gemma":0.00009533046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003181905,"about_ca_topic_score_gemma":0.00009067875,"domain_scores_codex":[0.9984605,0.00001065566,0.0002178945,0.0003166392,0.0005450741,0.0004491986],"domain_scores_gemma":[0.9990518,0.0001718594,0.00002738067,0.00006612615,0.0005943577,0.00008849334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005991129,0.0001045779,0.00141847,0.000009883098,0.00001028124,0.00002101627,0.00002778146,0.000266129,0.7371796,0.05778878,0.000131639,0.2029819],"study_design_scores_gemma":[0.002292596,0.001013494,0.5060418,0.00039351,0.000009875932,0.0006474732,0.004274939,0.03727837,0.07463504,0.2591528,0.1132772,0.0009828854],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862596,0.00005969586,0.0002294048,0.01214568,0.000441643,0.0002407819,0.000008711733,0.00006002104,0.0005545022],"genre_scores_gemma":[0.9986652,0.00004817965,0.001058478,0.00003910717,0.0001063008,0.00005571994,0.000004108791,8.76266e-7,0.00002202589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6625445,"threshold_uncertainty_score":0.2075494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04207846589862817,"score_gpt":0.3537687877474239,"score_spread":0.3116903218487957,"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."}}