{"id":"W6906026294","doi":"10.15468/dl.umph8q","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); Feature (linguistics)","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":[0.0009638651,0.001956069,0.001649968,0.005194646,0.0009505927,0.00256261,0.002734676,0.002023356,0.1551698],"category_scores_gemma":[0.005776234,0.000896118,0.0011207,0.01011494,0.0004403701,0.002249637,0.002455036,0.001931904,0.2152546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001468432,"about_ca_system_score_gemma":0.00227111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01904223,"about_ca_topic_score_gemma":0.03284132,"domain_scores_codex":[0.9989653,0.0001445155,0.0001374129,0.000363325,0.0002190085,0.0001705214],"domain_scores_gemma":[0.9975981,0.0006947085,0.0002374521,0.000612599,0.000575558,0.0002814693],"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":[0.00003215866,0.00001188884,0.0004140206,0.0006386152,0.00001676201,0.00001695369,0.00002559978,0.0001365216,0.0001324837,0.0003882948,0.9967369,0.001449795],"study_design_scores_gemma":[0.00007885061,0.000008705768,0.002005012,0.0002039441,0.00001545136,0.00004012348,0.0000754627,0.0001495035,0.0001849047,0.0007863877,0.9964328,0.00001886343],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004053964,0.00002624072,0.00004060042,0.00002944696,0.00001033188,0.00000467664,0.9989901,0.0003107768,0.0005471899],"genre_scores_gemma":[0.0001580723,0.00003242185,0.0001825979,0.00004009903,0.000003292289,0.0000389998,0.9990055,0.0001255727,0.0004135275],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8448302,"threshold_uncertainty_score":0.5190946,"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."}}