{"id":"W6924799538","doi":"10.15468/dl.v55qfw","title":"Occurrence Download","year":2022,"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; Matching (statistics); Range (aeronautics); Alien; The Internet","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":[0.0009538816,0.00192354,0.001506713,0.004597351,0.00101628,0.002620216,0.002793441,0.002100028,0.1632668],"category_scores_gemma":[0.006108107,0.0008976237,0.001267822,0.008553529,0.0004362059,0.002562699,0.002570691,0.00208035,0.2306773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001569804,"about_ca_system_score_gemma":0.002225335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02070182,"about_ca_topic_score_gemma":0.03435174,"domain_scores_codex":[0.9990129,0.0001420281,0.0001163105,0.0003545711,0.0002149004,0.0001591866],"domain_scores_gemma":[0.997552,0.0007270197,0.000198332,0.0006547432,0.0006066902,0.0002611912],"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":[0.00002598583,0.00001151629,0.0003722048,0.0004996138,0.00001345485,0.00001475428,0.00002303126,0.0001224559,0.0001061181,0.0003638984,0.996999,0.00144789],"study_design_scores_gemma":[0.00006404082,0.000008218358,0.001773698,0.0001964306,0.00001346832,0.00003620022,0.0000803884,0.0001706845,0.0001864066,0.0008261737,0.9966266,0.00001771759],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004614683,0.00003000596,0.00005301615,0.00004616008,0.00001453876,0.000006333332,0.9986044,0.0004702587,0.0007292756],"genre_scores_gemma":[0.0001738824,0.00003558408,0.0002280551,0.0000520846,0.000003920707,0.00004753641,0.9987621,0.0001707463,0.0005261404],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8367332,"threshold_uncertainty_score":0.5461818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}