{"id":"W6924840353","doi":"10.15468/dl.ufkx2d","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; State (computer science)","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":[0.000958789,0.001951343,0.001554173,0.005085593,0.0009796101,0.002642869,0.002703731,0.001998642,0.174154],"category_scores_gemma":[0.006217503,0.0009047941,0.001226313,0.009636906,0.0004424925,0.002321077,0.002505058,0.001971026,0.2375643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001539523,"about_ca_system_score_gemma":0.002215968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02027398,"about_ca_topic_score_gemma":0.03176609,"domain_scores_codex":[0.99903,0.0001329764,0.00012052,0.0003473498,0.0002073487,0.0001618205],"domain_scores_gemma":[0.9975562,0.0007453447,0.0002169391,0.0006313135,0.0005867515,0.0002634006],"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":[0.0000271523,0.00001116931,0.0004095518,0.0005660277,0.00001462366,0.0000153861,0.00002508169,0.0001310754,0.0001148532,0.0003592389,0.9967988,0.001527012],"study_design_scores_gemma":[0.00006703722,0.000007920922,0.001878538,0.0002082703,0.00001417574,0.00003441256,0.0000801412,0.000161684,0.0001814116,0.0007789319,0.9965701,0.00001720427],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000401406,0.00002656542,0.00004282565,0.00003576241,0.00001213209,0.000005485776,0.9988582,0.0003694972,0.0006092701],"genre_scores_gemma":[0.0001695601,0.00003584653,0.0002004204,0.00004688386,0.000003921994,0.0000491936,0.9988291,0.0001601894,0.0005049731],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.825846,"threshold_uncertainty_score":0.5826033,"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."}}