{"id":"W6962001512","doi":"10.15468/dl.pxrsq1","title":"Occurrence Download","year":2016,"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); Set (abstract data type); Download; 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":[0.0008555166,0.002103295,0.001593723,0.005265179,0.0008611587,0.002542279,0.002805376,0.001766023,0.1418988],"category_scores_gemma":[0.005628677,0.0008976198,0.001169532,0.01097512,0.000398766,0.00231165,0.002614527,0.001836531,0.2156522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001565593,"about_ca_system_score_gemma":0.002510103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02402562,"about_ca_topic_score_gemma":0.0409821,"domain_scores_codex":[0.9989474,0.0001283628,0.0001401048,0.0003701802,0.0002392096,0.0001746575],"domain_scores_gemma":[0.9976634,0.0005552361,0.0002560517,0.000620993,0.0006202532,0.0002840829],"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":[0.00002868344,0.000009411017,0.0004076943,0.0004571459,0.00001459075,0.00001291448,0.00001990252,0.0001123618,0.0001008341,0.000395907,0.9970289,0.001411859],"study_design_scores_gemma":[0.0000604096,0.000007218683,0.001850089,0.0001619439,0.00001347129,0.00003377064,0.00005158407,0.0001273249,0.0001799561,0.0007464875,0.9967511,0.00001673148],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004087983,0.0000264233,0.00003915283,0.00002815295,0.00001099468,0.000004017566,0.998862,0.0003501692,0.0006381058],"genre_scores_gemma":[0.0001364837,0.00003319117,0.0001544712,0.00003546743,0.000003161775,0.0000300647,0.9989746,0.0001258868,0.0005067782],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8581012,"threshold_uncertainty_score":0.4746987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}