{"id":"W6943264789","doi":"10.15468/dl.k4d5a2","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; Range (aeronautics); Identification (biology); Set (abstract data type)","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":[0.0009503446,0.00211269,0.001662318,0.005214637,0.0009760318,0.002656844,0.002804978,0.001888148,0.1776905],"category_scores_gemma":[0.005958275,0.0009987607,0.001213131,0.01042749,0.0004254825,0.002446469,0.002708222,0.001937248,0.2471351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001454862,"about_ca_system_score_gemma":0.002301054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01875379,"about_ca_topic_score_gemma":0.0321975,"domain_scores_codex":[0.9988783,0.0001514532,0.0001485564,0.0004060699,0.0002328798,0.0001826404],"domain_scores_gemma":[0.9974063,0.0007001045,0.0002422958,0.0006939824,0.0006612214,0.0002960223],"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":[0.00003223773,0.00001051672,0.0003178401,0.0005111346,0.0000142776,0.00001253299,0.00001920232,0.0001030474,0.0001056707,0.0003516684,0.9971372,0.001384626],"study_design_scores_gemma":[0.00007287614,0.00000866922,0.001631529,0.000168778,0.00001441745,0.00003205283,0.00005509858,0.0001236449,0.0001668785,0.0007945107,0.9969134,0.00001796715],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003461292,0.00002446256,0.00003984215,0.00002900495,0.00001112978,0.000004712228,0.9988979,0.000341387,0.0006167979],"genre_scores_gemma":[0.0001323291,0.0000331086,0.0001832075,0.00004605877,0.000003681893,0.00004028197,0.9989053,0.0001475997,0.0005083714],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8223095,"threshold_uncertainty_score":0.594434,"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."}}