{"id":"W6962167556","doi":"10.15468/dl.nfj65k","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; Data access","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":[0.000999108,0.001948042,0.001563263,0.004339093,0.001028254,0.002554401,0.0027549,0.002143044,0.1637959],"category_scores_gemma":[0.006088108,0.0009119305,0.001271796,0.008300319,0.0004568885,0.002496198,0.00263488,0.002066474,0.232058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001481647,"about_ca_system_score_gemma":0.002244783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01901283,"about_ca_topic_score_gemma":0.03267111,"domain_scores_codex":[0.9989842,0.0001454571,0.0001224807,0.0003679881,0.0002187305,0.0001611913],"domain_scores_gemma":[0.9974225,0.0007539763,0.000218405,0.0007114839,0.0006046842,0.0002889216],"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":[0.00002772458,0.00001210389,0.0003458249,0.0004945935,0.00001286512,0.00001401967,0.00002189513,0.0001169258,0.000112545,0.0003341461,0.9971542,0.001353245],"study_design_scores_gemma":[0.00007450311,0.000009596501,0.00178155,0.0001907887,0.00001345409,0.00003679792,0.00007188218,0.0001672938,0.0001931026,0.0007930913,0.9966502,0.00001777276],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000495632,0.00003068104,0.00005123877,0.00004745849,0.00001569493,0.000006875425,0.9985601,0.0005040388,0.0007344727],"genre_scores_gemma":[0.0001740965,0.00003596514,0.0002298596,0.00005679361,0.000004259416,0.00004959611,0.998746,0.0001797598,0.0005235635],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8362041,"threshold_uncertainty_score":0.5479518,"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."}}