{"id":"W6924898536","doi":"10.15468/dl.s2jkjq","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Geophysics and Sensor Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Alien; Range (aeronautics)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006487934,0.0002206234,0.0002188277,0.00009739639,0.0001002722,0.00006193786,0.0003836233,0.0003870454,0.0001392061],"category_scores_gemma":[0.00003543813,0.0002480197,0.00009801449,0.0003585748,0.00007806078,0.000308903,0.0001531567,0.0002926896,0.5800024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001651498,"about_ca_system_score_gemma":0.00002089924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002750768,"about_ca_topic_score_gemma":0.00001653681,"domain_scores_codex":[0.9991389,0.000009690988,0.0002406222,0.0001217049,0.0002255959,0.0002634953],"domain_scores_gemma":[0.9993683,0.000009669228,0.00006325106,0.0003991968,0.00008645104,0.00007311518],"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":[0.000003068092,0.000005277288,0.00007454932,0.0001497239,0.0000277609,0.000002370948,0.000009337597,0.000286924,9.196479e-8,1.302961e-7,0.9983426,0.001098105],"study_design_scores_gemma":[0.0001251115,0.00001180038,0.00006760818,0.000001412348,0.00002118213,0.000001671062,0.000041382,0.000004303884,0.000003892859,0.000003196328,0.9994866,0.0002318536],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001066989,0.000008561024,0.000003277516,0.00004000007,0.0009172306,0.0001485028,0.996954,0.000773289,0.00008810682],"genre_scores_gemma":[0.00003247457,0.000114607,5.66587e-7,0.00005568987,0.000001145135,0.000002816844,0.9997926,2.099855e-8,7.349845e-8],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5798632,"threshold_uncertainty_score":0.9999972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025442445567959,"score_gpt":0.1871870276497015,"score_spread":0.1769326031940219,"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."}}