{"id":"W6887027703","doi":"10.15468/dl.o0vjr8","title":"Occurrence Download","year":2017,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Matching (statistics); Download; Range (aeronautics); Set (abstract data type)","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":[0.0009360706,0.002062985,0.001624832,0.005457242,0.00103752,0.003233722,0.003030874,0.001958097,0.1749494],"category_scores_gemma":[0.006309026,0.0008978093,0.001235414,0.01109671,0.0004319423,0.002604927,0.002796656,0.002170519,0.2823751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001575268,"about_ca_system_score_gemma":0.002510946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01919377,"about_ca_topic_score_gemma":0.03217174,"domain_scores_codex":[0.9989288,0.000141495,0.0001293282,0.0003694604,0.0002473245,0.0001834989],"domain_scores_gemma":[0.9976715,0.0006237801,0.0002070856,0.0006110714,0.000608656,0.0002778065],"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":[0.00002229571,0.000008065422,0.000317161,0.0004040473,0.00001236177,0.00001190113,0.0000179627,0.00009704093,0.00007135377,0.0003557297,0.9973217,0.001360374],"study_design_scores_gemma":[0.0000536877,0.000006049724,0.001296757,0.0001577428,0.00001185715,0.00003190087,0.00006166218,0.0001405176,0.0001425402,0.0008270227,0.9972556,0.00001469482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003728972,0.00003390152,0.00005182791,0.00004150648,0.00001499209,0.000004968109,0.9985512,0.0004556142,0.0008087068],"genre_scores_gemma":[0.0001394416,0.0000401652,0.0001835017,0.00004249003,0.000004285538,0.00003523378,0.9987909,0.0001678952,0.0005961857],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8250506,"threshold_uncertainty_score":0.585264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}