{"id":"W6887035028","doi":"10.15468/dl.kgt722","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":[0.001012482,0.0019271,0.001562007,0.00479435,0.001042576,0.002632637,0.002750872,0.002107642,0.1660362],"category_scores_gemma":[0.006230439,0.0009274203,0.001262082,0.009260342,0.0004514892,0.002465834,0.002671777,0.002038848,0.2359397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001546455,"about_ca_system_score_gemma":0.002354798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02064452,"about_ca_topic_score_gemma":0.0328073,"domain_scores_codex":[0.9989655,0.0001463911,0.0001280297,0.0003679266,0.0002236762,0.0001685189],"domain_scores_gemma":[0.9973397,0.0007863449,0.0002250289,0.00071917,0.0006343833,0.0002953577],"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":[0.00002752401,0.00001158817,0.0003449071,0.000507572,0.00001341881,0.00001429292,0.00002311201,0.000114436,0.0001125141,0.0003502567,0.9970996,0.001380763],"study_design_scores_gemma":[0.00007117355,0.000009252602,0.001842996,0.0001976885,0.00001396969,0.00003710321,0.00007873627,0.0001563033,0.0001864744,0.0007505448,0.9966383,0.00001750502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004594256,0.00002889242,0.0000499663,0.00004473793,0.00001509781,0.000006263457,0.998694,0.0004398424,0.0006751368],"genre_scores_gemma":[0.0001628027,0.00003611218,0.0002077697,0.00005352193,0.000004040322,0.00004615195,0.9988027,0.000164643,0.000522362],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8339639,"threshold_uncertainty_score":0.5554463,"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."}}