{"id":"W6887255006","doi":"10.15468/dl.vbz16j","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); Data set; 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":[0.001016639,0.001907569,0.001580569,0.005066751,0.0008741811,0.002518652,0.002914007,0.001998298,0.1420582],"category_scores_gemma":[0.00617196,0.0008606205,0.001149356,0.009816837,0.0004304012,0.002214331,0.002488319,0.00195092,0.1973763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001517495,"about_ca_system_score_gemma":0.002282724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02001998,"about_ca_topic_score_gemma":0.03391535,"domain_scores_codex":[0.9989778,0.0001422991,0.0001400185,0.0003452201,0.000227013,0.0001677067],"domain_scores_gemma":[0.9974954,0.0006711222,0.0002599149,0.0006760474,0.0006007634,0.0002967639],"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":[0.000028946,0.00001189914,0.0004334645,0.0005386764,0.00001691243,0.00001519458,0.00002192858,0.0001302898,0.0001051068,0.0003752971,0.9969591,0.001363245],"study_design_scores_gemma":[0.00008315566,0.000008676239,0.002127803,0.000207642,0.00001580182,0.00004052366,0.0000688564,0.0001507096,0.000179719,0.0007721188,0.9963277,0.00001735527],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000045504,0.00002959886,0.00004015844,0.00003506518,0.00001155014,0.00000515657,0.998938,0.000313498,0.0005814693],"genre_scores_gemma":[0.0001598698,0.00003203964,0.0001593899,0.00003900036,0.000003421067,0.00003677927,0.999059,0.000107286,0.0004031971],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8579418,"threshold_uncertainty_score":0.4752321,"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."}}