{"id":"W6943279458","doi":"10.15468/dl.lk8qk7","title":"Occurrence Download","year":2018,"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); Order (exchange)","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":[0.001024606,0.001984107,0.001599176,0.005810482,0.00096156,0.002578166,0.002906761,0.001935877,0.1778176],"category_scores_gemma":[0.006236437,0.0008894751,0.001198403,0.01055532,0.0004236182,0.002477389,0.002920691,0.002030917,0.2539166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001531704,"about_ca_system_score_gemma":0.002493292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02026656,"about_ca_topic_score_gemma":0.03712891,"domain_scores_codex":[0.998847,0.0001462384,0.0001418454,0.0003999743,0.0002675927,0.0001973566],"domain_scores_gemma":[0.9973004,0.0006581297,0.0002516942,0.0007261373,0.0007278019,0.0003358078],"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":[0.0000253845,0.000008891418,0.0003133156,0.0004635059,0.00001356905,0.00001190164,0.00001950975,0.00008576491,0.00009956345,0.0003186775,0.9972901,0.001349924],"study_design_scores_gemma":[0.00005895388,0.000007330714,0.001727965,0.0001753945,0.00001362209,0.00003265507,0.00005953446,0.0001104662,0.0001711914,0.0006862348,0.9969407,0.00001591781],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003665619,0.00002802236,0.00004354578,0.0000335599,0.00001189657,0.000005523621,0.9987638,0.0004069438,0.0006699875],"genre_scores_gemma":[0.0001368142,0.00003356839,0.0001824568,0.00004277977,0.000003701131,0.00003778622,0.9989336,0.0001510154,0.0004781948],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8221824,"threshold_uncertainty_score":0.5948592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}