{"id":"W6920530591","doi":"10.6068/dp15fb374124350","title":"TREND: National Agricultural Statistics Service, United States Department of Agriculture. Agricultural Census: Crops - Vegetables | State: California | Zip Code: 93650, 93701, 93702, 93703, 93704, 93705, 93706, 93710, 93711, 93714, 93720, 93722, 93723, 93725, 93726, 93727, 93728, 93740, 93745, 93790, 93794 | Zip Code Name: FRESNO (93650), FRESNO (93701), FRESNO (93702), FRESNO (93703), FRESNO (93704), FRESNO (93705), FRESNO (93706), FRESNO (93710), FRESNO (93711), FRESNO (93714), FRESNO (93720), FRESNO (93722), FRESNO (93723), FRESNO (93725), FRESNO (93726), FRESNO (93727), FRESNO (93728), FRESNO (93740), FRESNO (93745), FRESNO (93790), FRESNO (93794) | Commodity: VEGETABLE TOTALS | Indicator: VEGETABLE TOTALS, IN THE OPEN - OPERATIONS WITH AREA IN PRODUCTION | Domain Category: NOT SPECIFIED, 2007. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 008-008-011","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Agriculture; Agricultural productivity; American Community Survey; Quarter (Canadian coin)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002265702,0.001680876,0.001699132,0.006388841,0.0008030889,0.002571055,0.002728491,0.000941059,0.0942454],"category_scores_gemma":[0.02153419,0.001156705,0.001169459,0.02764765,0.000365448,0.002570346,0.001343826,0.003164819,0.0845119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003063267,"about_ca_system_score_gemma":0.009641076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1524646,"about_ca_topic_score_gemma":0.0984127,"domain_scores_codex":[0.9972451,0.0003596364,0.00054778,0.0006200322,0.0009094946,0.000318041],"domain_scores_gemma":[0.980337,0.003738774,0.001778172,0.001860826,0.01153478,0.0007503465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002953585,0.00001299223,0.001224673,0.0002273206,0.000019396,0.000007051784,0.00002078775,0.0001678609,0.00001837945,0.0003503583,0.9954256,0.002495958],"study_design_scores_gemma":[0.0002663471,0.00002678484,0.02416513,0.0005423342,0.00006119642,0.00003713415,0.0003712691,0.000754806,0.0001588499,0.001460459,0.9721048,0.00005089436],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001026826,0.00002307315,0.00008756442,0.00007748468,0.0000343477,0.00002347373,0.9984068,0.0001411227,0.001103395],"genre_scores_gemma":[0.0006798993,0.000113244,0.00039294,0.00006578752,0.0000179627,0.0002361401,0.9969477,0.0001382953,0.001408036],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1524646,"threshold_uncertainty_score":0.3152823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03431042306654968,"score_gpt":0.2756952118101627,"score_spread":0.241384788743613,"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."}}