{"id":"W6887285107","doi":"10.15468/dl.xsfbh7","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":"Matching (statistics); Download; Alien; Range (aeronautics); 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":[0.0009269764,0.002033178,0.001497206,0.004929778,0.00098691,0.002476671,0.00260244,0.001925161,0.1702693],"category_scores_gemma":[0.005991665,0.0009013226,0.001182635,0.009948331,0.0004533,0.002121158,0.002534563,0.001801137,0.2302318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001454155,"about_ca_system_score_gemma":0.002297064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02086094,"about_ca_topic_score_gemma":0.03321758,"domain_scores_codex":[0.9989838,0.0001380506,0.0001270049,0.0003620032,0.0002133575,0.0001758173],"domain_scores_gemma":[0.9975922,0.0006909829,0.000228823,0.0006104637,0.0006064002,0.0002712023],"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":[0.00003238734,0.00001167282,0.0004056145,0.0005338456,0.00001357024,0.00001447292,0.00002209942,0.000129274,0.0001270624,0.0003603931,0.9968778,0.00147187],"study_design_scores_gemma":[0.00007656886,0.00001056931,0.00190186,0.0001868828,0.00001475797,0.00003538616,0.00007010551,0.0001504301,0.0002002596,0.0008084824,0.9965258,0.00001873034],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004613724,0.00002567246,0.0000393951,0.00003276491,0.000012234,0.00000508217,0.9988158,0.0003722959,0.000650672],"genre_scores_gemma":[0.0001668324,0.00003338389,0.0001914584,0.00004598312,0.000003712425,0.00004277078,0.9988723,0.0001547393,0.0004887212],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8297307,"threshold_uncertainty_score":0.5696075,"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."}}