{"id":"W6943563722","doi":"10.15468/dl.vdlayt","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); Arrow; Reference data","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":[0.0009707678,0.002053388,0.001626479,0.00537133,0.001047734,0.002922093,0.002996609,0.002125273,0.1588357],"category_scores_gemma":[0.006402686,0.0009798552,0.001420292,0.01052007,0.0004561482,0.002593818,0.002894524,0.002110781,0.2344739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001609275,"about_ca_system_score_gemma":0.002455684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02014249,"about_ca_topic_score_gemma":0.03134807,"domain_scores_codex":[0.9988886,0.0001528813,0.0001523309,0.0004042617,0.0002239488,0.0001779923],"domain_scores_gemma":[0.9975903,0.0006740512,0.0002191428,0.0006785488,0.0005769219,0.0002610586],"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":[0.00003095973,0.00001066018,0.0004112065,0.0006658644,0.00001755194,0.00001650583,0.00002700598,0.0001311238,0.0001131211,0.0003789076,0.9964092,0.001787815],"study_design_scores_gemma":[0.00006791783,0.000008458771,0.001685701,0.0002228956,0.00001602412,0.00004397706,0.0000759796,0.0001715481,0.0001662603,0.0007684584,0.996756,0.00001674134],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004615903,0.00003960292,0.00005429286,0.00004303307,0.00001494769,0.000006275859,0.9986749,0.0004856358,0.0006350533],"genre_scores_gemma":[0.0001550768,0.00004388742,0.0002130666,0.00005103824,0.000003849977,0.00004620926,0.998866,0.0001549494,0.0004659572],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8411644,"threshold_uncertainty_score":0.5313582,"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."}}