{"id":"W6906257848","doi":"10.15468/dl.z653b6","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Alien; Information system","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":[0.0008734114,0.002146964,0.001419521,0.003917521,0.001028138,0.002310339,0.002799803,0.002162758,0.1329702],"category_scores_gemma":[0.00494276,0.0007939311,0.001265306,0.006727146,0.0004451253,0.002233091,0.002375137,0.002091902,0.2068263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001434809,"about_ca_system_score_gemma":0.002023361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01680951,"about_ca_topic_score_gemma":0.03170584,"domain_scores_codex":[0.9991369,0.0001193967,0.00009835696,0.0003091091,0.0001969028,0.0001393825],"domain_scores_gemma":[0.9980453,0.0005485459,0.000151372,0.000566857,0.0004516978,0.0002361923],"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":[0.00002638259,0.00001599308,0.0003297634,0.000338707,0.00001023016,0.00001433934,0.00001754199,0.0001142437,0.0001027714,0.0002827054,0.9973537,0.001393631],"study_design_scores_gemma":[0.00009595102,0.00001351758,0.002040833,0.0001580475,0.00001377808,0.00005432479,0.00008488783,0.0003136401,0.0002805401,0.0009427512,0.9959818,0.00001984004],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009505176,0.00003715223,0.00007655482,0.00006014045,0.00002077863,0.00001117902,0.9979349,0.0008009784,0.0009631313],"genre_scores_gemma":[0.0002287177,0.0000303201,0.0002807487,0.00005556494,0.000004811307,0.00006263776,0.9986137,0.0001639202,0.0005595772],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8670298,"threshold_uncertainty_score":0.4448295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.015963953544511,"score_gpt":0.2283926934335638,"score_spread":0.2124287398890528,"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."}}