{"id":"W6905891326","doi":"10.15468/dl.sqzb5v","title":"Occurrence Download","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Herbarium; Entomology; Range (aeronautics); Natural history; Arthropod","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":[0.0008388558,0.002849064,0.002320399,0.007813877,0.001416934,0.003983791,0.003107724,0.002266769,0.2556651],"category_scores_gemma":[0.007469363,0.001025305,0.001981943,0.0133138,0.0003937865,0.004615067,0.003476859,0.002097461,0.3542556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001716311,"about_ca_system_score_gemma":0.002243362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0189545,"about_ca_topic_score_gemma":0.03504767,"domain_scores_codex":[0.9984946,0.0001743215,0.000210105,0.0005673491,0.0003339576,0.0002196002],"domain_scores_gemma":[0.9972806,0.0007363225,0.0001906874,0.0006637395,0.0008471727,0.0002814828],"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":[0.00005045243,0.00001537433,0.0003894206,0.0006119938,0.00001743813,0.00002538667,0.00002153051,0.0001218318,0.0000997707,0.0003693656,0.9948977,0.003379704],"study_design_scores_gemma":[0.00007308242,0.00001750085,0.001658327,0.0001922715,0.00001947321,0.00006938468,0.0001086253,0.0004098337,0.0001917425,0.001389888,0.9958462,0.00002368538],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008965691,0.00007690969,0.0001402983,0.00006738439,0.00003065205,0.00001232247,0.9963036,0.001581787,0.001697475],"genre_scores_gemma":[0.0002545912,0.00006392958,0.000486362,0.00007074288,0.000009268374,0.00005372081,0.9977537,0.0003155794,0.0009922152],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7443349,"threshold_uncertainty_score":0.8552849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}