{"id":"W6943531674","doi":"10.15468/dl.nwtl4j","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":"Download; Matching (statistics); Data collection; Range (aeronautics); Confidentiality","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":[0.001049267,0.002021113,0.001630834,0.00582145,0.0008697642,0.002658754,0.002745668,0.001874054,0.1745225],"category_scores_gemma":[0.006666181,0.000899057,0.001148942,0.01071495,0.0004255788,0.002429898,0.002867062,0.001947237,0.2462939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001620644,"about_ca_system_score_gemma":0.00250844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0216604,"about_ca_topic_score_gemma":0.03727657,"domain_scores_codex":[0.9988777,0.0001502662,0.0001484606,0.0003729951,0.000260883,0.0001896556],"domain_scores_gemma":[0.9973128,0.0006725515,0.0002748801,0.0007002134,0.0006892834,0.0003501278],"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":[0.00002726428,0.000008500757,0.0003328874,0.0005086889,0.0000143025,0.0000118446,0.0000198632,0.00009421859,0.00008800574,0.0003468879,0.9971988,0.001348777],"study_design_scores_gemma":[0.00006523119,0.000006840353,0.001597619,0.0001847945,0.00001298387,0.00003112117,0.00005489932,0.000111264,0.0001486338,0.0007168464,0.9970551,0.0000146578],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003160619,0.00002701557,0.00003592603,0.00003100256,0.00001004481,0.000004632388,0.9989214,0.000342575,0.0005957992],"genre_scores_gemma":[0.000133479,0.00003458074,0.0001570893,0.00003955404,0.000003527643,0.00003395999,0.9990139,0.0001389409,0.0004449477],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8254775,"threshold_uncertainty_score":0.583836,"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."}}