{"id":"W6887321657","doi":"10.15468/dl.zs6bza","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Download; Set (abstract data type); Identification (biology)","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":[0.001011435,0.002129314,0.001620585,0.005725304,0.001026413,0.002691784,0.002903978,0.00185696,0.1894835],"category_scores_gemma":[0.00626053,0.0009525701,0.001294292,0.01014247,0.0004354246,0.002484025,0.002922594,0.001867295,0.2677068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001525217,"about_ca_system_score_gemma":0.002568232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02064269,"about_ca_topic_score_gemma":0.0358258,"domain_scores_codex":[0.9988325,0.0001599759,0.000154593,0.0003949289,0.0002594935,0.0001986249],"domain_scores_gemma":[0.9972631,0.0006959292,0.0002528597,0.0007105108,0.0007574735,0.0003201465],"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":[0.00003200894,0.000009140304,0.0003024988,0.0004732214,0.00001428076,0.00001257873,0.00001811934,0.00008536239,0.0001077288,0.0003392858,0.9972255,0.001380282],"study_design_scores_gemma":[0.00006356127,0.000008185129,0.001503491,0.0001566892,0.00001437545,0.00003313606,0.00004817554,0.00009998542,0.0001759578,0.0007533271,0.9971254,0.00001760613],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000355153,0.00002672595,0.0000418143,0.00003328031,0.00001232112,0.000005050532,0.9986804,0.0004277431,0.0007371567],"genre_scores_gemma":[0.0001297746,0.00003470702,0.0001878697,0.00005129072,0.000004071293,0.00003590042,0.9987997,0.0001857523,0.0005708679],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8105165,"threshold_uncertainty_score":0.6338855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}