{"id":"W6962102510","doi":"10.15468/dl.cs8qmf","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009061542,0.001940611,0.001600139,0.004886801,0.000895166,0.002405478,0.002684983,0.002030715,0.1330849],"category_scores_gemma":[0.005218606,0.0008668599,0.001103408,0.009987949,0.0004166591,0.002033597,0.002170553,0.001903968,0.1881081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001597251,"about_ca_system_score_gemma":0.002241875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02233757,"about_ca_topic_score_gemma":0.03635353,"domain_scores_codex":[0.9990309,0.0001362568,0.0001283804,0.0003407315,0.0002098317,0.0001538574],"domain_scores_gemma":[0.9979421,0.000587109,0.0002117226,0.0004977844,0.000510706,0.0002504568],"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":[0.00003449639,0.00001261133,0.0004437592,0.0005784935,0.00001824416,0.00001620548,0.00002239173,0.0001560355,0.000123632,0.0004005396,0.9967567,0.0014369],"study_design_scores_gemma":[0.00009125337,0.000008536299,0.002197606,0.0001995203,0.00001674816,0.00003763171,0.00006798703,0.0001696399,0.000190376,0.0007259416,0.9962779,0.00001691282],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000434592,0.00002760692,0.00003661178,0.00002923286,0.000009033241,0.000004344036,0.9990487,0.0002659996,0.0005350783],"genre_scores_gemma":[0.0001618336,0.00003269311,0.0001609438,0.0000366848,0.000002993457,0.00003499527,0.9990736,0.000101884,0.0003943572],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8669151,"threshold_uncertainty_score":0.4452132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01672849475740422,"score_gpt":0.2099510606830418,"score_spread":0.1932225659256376,"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."}}