{"id":"W6887270245","doi":"10.15468/dl.w9lejd","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":[0.0009716965,0.002045646,0.001561149,0.005485649,0.0008773763,0.002524409,0.002799087,0.002007789,0.1329501],"category_scores_gemma":[0.005822018,0.0008406226,0.001163466,0.01041901,0.0004351639,0.002241729,0.00262598,0.001929365,0.2047418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00165916,"about_ca_system_score_gemma":0.002404941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02189115,"about_ca_topic_score_gemma":0.03691894,"domain_scores_codex":[0.9988934,0.0001498543,0.000152839,0.0003591908,0.00025701,0.0001877032],"domain_scores_gemma":[0.9974969,0.0006128377,0.0002673648,0.0006890555,0.0006249049,0.0003090358],"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":[0.00003318868,0.00001265531,0.0004337535,0.0005597007,0.00001669468,0.00001632757,0.000023108,0.0001303222,0.0001212168,0.0003831081,0.9967565,0.001513572],"study_design_scores_gemma":[0.00007902065,0.000009019904,0.002117797,0.0001924287,0.00001461798,0.00004117035,0.00006635076,0.0001482792,0.0001956327,0.0007257601,0.9963927,0.000017252],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004623109,0.00002940323,0.00003592667,0.00003269688,0.00001049165,0.000005077498,0.9989526,0.0003221261,0.0005653738],"genre_scores_gemma":[0.0001485702,0.00003232443,0.0001472085,0.00003549227,0.000003237841,0.00003216788,0.9991291,0.00009525203,0.0003766824],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8670499,"threshold_uncertainty_score":0.4447625,"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."}}