{"id":"W6967200925","doi":"10.5063/f1xk8cwx","title":"Winegrowing Regions of the World 2007","year":2019,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Scale (ratio); Shapefile; Digital mapping; Georeference; High resolution","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005430531,0.0006524638,0.0008855952,0.0006053456,0.0001597932,0.00006226747,0.002470251,0.0003929212,0.003217895],"category_scores_gemma":[0.0003191128,0.0004754258,0.0005414653,0.001066265,0.0003247028,0.0001889684,0.0008168877,0.001325571,0.02225349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002272066,"about_ca_system_score_gemma":0.0003856687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004994982,"about_ca_topic_score_gemma":0.0007876594,"domain_scores_codex":[0.9964816,0.0002968683,0.0007461673,0.0007366249,0.001025026,0.0007137377],"domain_scores_gemma":[0.9944587,0.0003712071,0.0007541988,0.004148509,0.0001283661,0.0001390381],"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":[0.0000399411,0.00009233601,0.0002548603,0.0001835023,0.0001625137,0.00001751558,0.00002050071,0.00001241054,0.0003016836,0.00006722942,0.9988356,0.0000118549],"study_design_scores_gemma":[0.0004343387,0.00002262587,0.001264874,0.0008566885,0.0004665456,0.00002869698,0.00003357986,0.00001482236,0.0002424007,0.00005369177,0.9960567,0.0005249714],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001892092,0.001111508,0.00000104003,0.0001060257,0.002516508,0.0007811764,0.9895792,0.00007163493,0.005643691],"genre_scores_gemma":[0.0004006835,0.00009043481,0.00003382194,0.0005605458,0.0008648632,0.00002885054,0.9893947,0.0001970521,0.008429108],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0190356,"threshold_uncertainty_score":0.9997697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03045216427748724,"score_gpt":0.2917218809205676,"score_spread":0.2612697166430803,"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."}}