{"id":"W6924543532","doi":"10.15468/dl.srjnf3","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); The Internet","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":[0.001064847,0.001974596,0.001598187,0.005958396,0.0009776899,0.002639123,0.002871063,0.001917904,0.1844622],"category_scores_gemma":[0.006515517,0.000898357,0.001175119,0.01105742,0.0004340813,0.002510088,0.003055788,0.002006719,0.2640926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001574382,"about_ca_system_score_gemma":0.002542805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02159753,"about_ca_topic_score_gemma":0.03921087,"domain_scores_codex":[0.9987876,0.0001571157,0.0001525944,0.000411194,0.0002831038,0.0002083058],"domain_scores_gemma":[0.9972062,0.0006687809,0.0002647045,0.0007415339,0.0007677457,0.0003510451],"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":[0.00002497079,0.000008291891,0.0003101313,0.0004542642,0.00001261039,0.00001111696,0.00001975424,0.00007919551,0.00008862146,0.0003299061,0.9973782,0.001283107],"study_design_scores_gemma":[0.00005826387,0.000006855698,0.001668502,0.0001743569,0.00001244925,0.00002928066,0.00006166323,0.00009850937,0.0001530797,0.0006719348,0.99705,0.0000150175],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003420575,0.00002579911,0.00004000809,0.00003263155,0.00001101377,0.000005336025,0.9987894,0.0003695194,0.0006920971],"genre_scores_gemma":[0.000133111,0.00003203697,0.0001714206,0.00004231897,0.000003618628,0.00003753371,0.998931,0.0001507354,0.0004982233],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8155378,"threshold_uncertainty_score":0.6170877,"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."}}