{"id":"W6906106834","doi":"10.15468/dl.zq9kg1","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":[0.0008794441,0.002084157,0.001590375,0.005066934,0.0008928729,0.002582273,0.002894677,0.001822478,0.1432678],"category_scores_gemma":[0.005764394,0.0008960548,0.001168593,0.01065746,0.0004102761,0.002276101,0.00262649,0.001869227,0.2064417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001600701,"about_ca_system_score_gemma":0.002546802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0232813,"about_ca_topic_score_gemma":0.04010462,"domain_scores_codex":[0.9989426,0.0001382796,0.0001400954,0.0003680908,0.0002385915,0.0001724514],"domain_scores_gemma":[0.9976992,0.0005919647,0.000253,0.0006000323,0.0005820756,0.0002737015],"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":[0.00002866741,0.000009290611,0.0003977527,0.0004865914,0.00001507752,0.00001351028,0.00002055394,0.0001182338,0.0001002602,0.0004103706,0.9970269,0.001372689],"study_design_scores_gemma":[0.00006196594,0.000007289847,0.001717457,0.0001713011,0.00001440446,0.00003587654,0.00005341609,0.0001361434,0.0001820143,0.0007993337,0.9968038,0.00001710159],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004121258,0.00003069101,0.00004241228,0.00003132093,0.00001112724,0.000004112399,0.9988341,0.0003619668,0.0006431492],"genre_scores_gemma":[0.000146932,0.00003736985,0.0001658243,0.00003926091,0.000003142513,0.00003217234,0.9989446,0.0001324697,0.0004982614],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8567322,"threshold_uncertainty_score":0.4792786,"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."}}