{"id":"W6961936700","doi":"10.15468/dl.nu613c","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); Range (aeronautics); Confidentiality; 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":[0.0008921156,0.002001086,0.001559234,0.005371488,0.0009916655,0.002773515,0.003011458,0.002160745,0.1466003],"category_scores_gemma":[0.006021018,0.0009531534,0.001293167,0.01132391,0.0004212566,0.002392553,0.002537887,0.002141598,0.2190589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001898867,"about_ca_system_score_gemma":0.002696823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02879432,"about_ca_topic_score_gemma":0.04563932,"domain_scores_codex":[0.9989434,0.0001372634,0.0001354729,0.0003700917,0.0002373475,0.0001763773],"domain_scores_gemma":[0.9977567,0.0005958007,0.0002086153,0.0005996716,0.0005740208,0.0002652318],"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":[0.00002645412,0.00001020227,0.0003878105,0.0004804286,0.00001473836,0.0000144309,0.000021814,0.0001240869,0.00008910964,0.0003908191,0.9969915,0.001448571],"study_design_scores_gemma":[0.00006334955,0.000006607504,0.001633976,0.000185967,0.00001359611,0.00003836343,0.0000635078,0.000165221,0.0001568384,0.0007209053,0.9969366,0.00001515991],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004317227,0.00003512272,0.00004512247,0.00004113489,0.00001161225,0.000005083287,0.9986915,0.0004068876,0.0007204195],"genre_scores_gemma":[0.0001503301,0.00004201002,0.0001838459,0.00004402142,0.000003119481,0.00003521291,0.9988926,0.0001414685,0.000507397],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8533996,"threshold_uncertainty_score":0.490427,"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."}}