{"id":"W6887205522","doi":"10.15468/dl.vhncpt","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":[0.001000003,0.00195695,0.00154879,0.004734703,0.001059751,0.002626996,0.002711179,0.002200536,0.1593333],"category_scores_gemma":[0.006323164,0.0008850115,0.001270076,0.009046292,0.0004565298,0.002476934,0.00259891,0.002031953,0.2253627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001570013,"about_ca_system_score_gemma":0.002352021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02211168,"about_ca_topic_score_gemma":0.03602814,"domain_scores_codex":[0.998912,0.0001550924,0.0001326473,0.0003885145,0.0002344439,0.0001772855],"domain_scores_gemma":[0.997291,0.0007985181,0.0002316233,0.0007163982,0.0006727417,0.0002896278],"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":[0.00002877278,0.00001240811,0.0004092301,0.0005146512,0.00001301776,0.00001543241,0.00002359699,0.0001218718,0.0001055048,0.0003514873,0.9970203,0.00138373],"study_design_scores_gemma":[0.00007242294,0.00000924829,0.00192435,0.0002065967,0.00001380056,0.00003750004,0.00008477951,0.0001718873,0.0001830481,0.0008169511,0.9964607,0.00001864834],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004683758,0.00002797738,0.00004588988,0.00004371308,0.00001393597,0.000006197297,0.9987236,0.0004201572,0.0006718272],"genre_scores_gemma":[0.0001745174,0.00003347142,0.0002125086,0.00005264091,0.000004064204,0.00004756689,0.9988291,0.0001539653,0.000492109],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8406667,"threshold_uncertainty_score":0.533023,"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."}}