{"id":"W6962431322","doi":"10.15468/dl.zf7x47","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":[0.0009982174,0.001998848,0.001596541,0.004923603,0.001023633,0.002640595,0.002721001,0.002096362,0.1672557],"category_scores_gemma":[0.006413085,0.0009002301,0.001240775,0.009236014,0.0004343642,0.002372219,0.002557585,0.001982406,0.238071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001516977,"about_ca_system_score_gemma":0.002272741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02072968,"about_ca_topic_score_gemma":0.03283099,"domain_scores_codex":[0.9989493,0.0001465759,0.0001311409,0.0003739453,0.0002247773,0.0001742225],"domain_scores_gemma":[0.9973564,0.0007905645,0.0002275802,0.0006873034,0.0006468291,0.0002913689],"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":[0.00002774281,0.00001129978,0.0003825477,0.0004944555,0.00001290744,0.00001437306,0.00002140258,0.0001153213,0.00009962655,0.0003140558,0.9971231,0.001383234],"study_design_scores_gemma":[0.00007625282,0.000009529316,0.001969805,0.00021411,0.00001469312,0.00003897016,0.00008064755,0.000183186,0.0001893553,0.0007950373,0.9964098,0.00001864552],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004466758,0.00002680371,0.00004565965,0.00003931471,0.00001316386,0.000005771636,0.998791,0.0004320372,0.0006016745],"genre_scores_gemma":[0.0001672749,0.00003368231,0.0002033874,0.00004980464,0.000004085785,0.00004738032,0.9988492,0.0001662677,0.0004789797],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8327442,"threshold_uncertainty_score":0.5595262,"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."}}