{"id":"W6943139719","doi":"10.15468/dl.mtcwh8","title":"Occurrence Download","year":2023,"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":[0.001041015,0.001923584,0.001560361,0.004842141,0.001008638,0.002532731,0.002847292,0.002166354,0.1497709],"category_scores_gemma":[0.006046528,0.0008923715,0.001247662,0.009399167,0.0004575113,0.002366214,0.002500524,0.002058036,0.2152505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001622076,"about_ca_system_score_gemma":0.002390308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02320662,"about_ca_topic_score_gemma":0.03829414,"domain_scores_codex":[0.9989153,0.0001524094,0.0001364012,0.000378528,0.0002417627,0.0001756677],"domain_scores_gemma":[0.9973506,0.0007716991,0.0002338592,0.000705668,0.0006456629,0.0002924476],"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":[0.00002905905,0.00001259423,0.000378115,0.0004908157,0.0000140303,0.00001449048,0.00002255169,0.0001231451,0.0001155026,0.0003656863,0.9970639,0.001370094],"study_design_scores_gemma":[0.00007141815,0.000008913014,0.0020598,0.0001873935,0.00001417984,0.00003684417,0.00007697887,0.0001521501,0.0001982459,0.0007914593,0.996384,0.00001856477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004376938,0.00002525319,0.0000435647,0.00003806273,0.00001216678,0.000005365051,0.9988765,0.000347852,0.0006074749],"genre_scores_gemma":[0.0001561395,0.00003014122,0.0001848703,0.00004286865,0.000003363428,0.00004045661,0.9989588,0.000127876,0.000455476],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8502291,"threshold_uncertainty_score":0.5010337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}