{"id":"W6943456590","doi":"10.15468/dl.vdvhqj","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); State (computer science); Confidentiality","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":[0.001022944,0.002007718,0.001517685,0.005026065,0.001006942,0.002525636,0.002882695,0.002070713,0.1593191],"category_scores_gemma":[0.005736248,0.0009083062,0.001153255,0.009876339,0.0004691299,0.002304767,0.002535843,0.00202912,0.2214533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001575854,"about_ca_system_score_gemma":0.002269244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02054122,"about_ca_topic_score_gemma":0.03394619,"domain_scores_codex":[0.9989851,0.0001432113,0.0001225259,0.000357638,0.0002230479,0.0001684576],"domain_scores_gemma":[0.9975503,0.0006863002,0.0002282259,0.0006641166,0.0005927669,0.0002783134],"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":[0.00002780547,0.00001193195,0.0003705512,0.0005008451,0.00001433137,0.00001521365,0.00002390979,0.0001312038,0.0001170206,0.0003752695,0.9970247,0.001387235],"study_design_scores_gemma":[0.00006962594,0.00000771259,0.001711904,0.000172123,0.0000130764,0.00003554826,0.00007379488,0.0001543158,0.0001900664,0.0007595053,0.9967951,0.00001717324],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004561232,0.00002633914,0.00004741339,0.00003531925,0.0000123897,0.000005479748,0.9987869,0.000376327,0.0006642506],"genre_scores_gemma":[0.0001676318,0.00003108533,0.000197803,0.00004231158,0.000003561,0.00004382021,0.998906,0.0001483164,0.0004594082],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8406808,"threshold_uncertainty_score":0.5329756,"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."}}