{"id":"W6924328135","doi":"10.15468/dl.qb8pf5","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); Confidentiality; State (computer science)","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":[0.001044917,0.002066402,0.00159309,0.005010232,0.001074301,0.002523647,0.003033171,0.002231024,0.1550555],"category_scores_gemma":[0.005827325,0.0009315503,0.001207465,0.009291998,0.0004898494,0.002458725,0.002645395,0.00216185,0.2144022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001598293,"about_ca_system_score_gemma":0.002293786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0210001,"about_ca_topic_score_gemma":0.03605551,"domain_scores_codex":[0.9989273,0.0001560066,0.0001342034,0.0003780774,0.0002284945,0.0001758445],"domain_scores_gemma":[0.997475,0.000715502,0.0002318628,0.0006978937,0.0005880627,0.0002916243],"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":[0.00002828295,0.00001279192,0.0003452842,0.0004869501,0.00001383023,0.00001467202,0.00002382695,0.0001276399,0.000109746,0.0003659868,0.9971413,0.001329621],"study_design_scores_gemma":[0.00007509047,0.00000857607,0.001742278,0.0001768451,0.00001364375,0.00003907128,0.00007754594,0.0001627417,0.0001809065,0.0008143468,0.9966903,0.00001866022],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004745729,0.00002797253,0.00005212546,0.00003948887,0.00001422014,0.000006016212,0.9987292,0.0004137391,0.0006698288],"genre_scores_gemma":[0.0001586312,0.0000301068,0.0002113041,0.00004502109,0.000003562893,0.00004447078,0.9989129,0.0001459168,0.0004480325],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8449445,"threshold_uncertainty_score":0.5187124,"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."}}