{"id":"W6943504750","doi":"10.15468/dl.kxyqvp","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":[0.001009247,0.001974782,0.001604403,0.004965154,0.001013727,0.002675256,0.002867545,0.002077836,0.1618024],"category_scores_gemma":[0.00619515,0.0009014928,0.00125489,0.009299296,0.0004398161,0.002392383,0.002484938,0.002009953,0.2280936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157815,"about_ca_system_score_gemma":0.002234108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02034322,"about_ca_topic_score_gemma":0.03214866,"domain_scores_codex":[0.9990101,0.0001374974,0.0001227351,0.0003544518,0.000212185,0.0001629515],"domain_scores_gemma":[0.9975599,0.0007417626,0.0002145872,0.0006187427,0.0006083674,0.0002566392],"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":[0.00003000756,0.00001193508,0.0004020544,0.0006022238,0.00001542284,0.000016397,0.00002445136,0.000128859,0.0001266653,0.0003667773,0.9967414,0.001533889],"study_design_scores_gemma":[0.00007001648,0.00000887652,0.001912709,0.000222003,0.00001606794,0.00003790493,0.00007935223,0.0001690624,0.0002032,0.0007920038,0.9964702,0.00001857757],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004274187,0.00002958103,0.0000472089,0.00003725574,0.00001211596,0.000005710123,0.9987857,0.0004147485,0.0006250016],"genre_scores_gemma":[0.0001679165,0.00003588511,0.0002069403,0.00004671743,0.000003564953,0.00004760275,0.9988635,0.0001630128,0.0004649755],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8381976,"threshold_uncertainty_score":0.541283,"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."}}