{"id":"W6961971327","doi":"10.15468/dl.rts72p","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); Range (aeronautics); Download; Set (abstract data type); Identification (biology)","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":[0.0008950334,0.00202283,0.001593161,0.00506658,0.0009445458,0.002567414,0.002685771,0.001937404,0.1682277],"category_scores_gemma":[0.005593919,0.0009464041,0.00114333,0.0102614,0.0004288821,0.002246411,0.002456377,0.001840868,0.2313291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001512276,"about_ca_system_score_gemma":0.00225724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02052891,"about_ca_topic_score_gemma":0.03574223,"domain_scores_codex":[0.9989826,0.0001358223,0.0001290154,0.0003663116,0.0002149016,0.000171317],"domain_scores_gemma":[0.9976369,0.0006344117,0.000232135,0.0006042556,0.0006128208,0.0002794384],"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":[0.00003194511,0.00001078879,0.0003728813,0.0005593927,0.00001446262,0.00001320263,0.00002038988,0.0001180745,0.0001157412,0.0003661188,0.9969716,0.001405422],"study_design_scores_gemma":[0.00007188474,0.000008817801,0.001765032,0.0001830135,0.00001420288,0.00003220408,0.00005740094,0.000126686,0.0001707447,0.0007612375,0.9967911,0.00001768076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000383006,0.00002681083,0.00003537575,0.00002953103,0.00001061188,0.000004354602,0.9989383,0.000296147,0.0006205236],"genre_scores_gemma":[0.0001494326,0.00003528109,0.0001772912,0.00004578352,0.00000345646,0.00003782723,0.9988872,0.0001360088,0.0005276732],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8317723,"threshold_uncertainty_score":0.5627778,"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."}}