{"id":"W6906120504","doi":"10.15468/dl.xsfc6w","title":"Occurrence Download","year":2017,"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 collection","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":[0.001124676,0.001894798,0.001621101,0.006209441,0.0009329733,0.002725965,0.002803032,0.001850423,0.191082],"category_scores_gemma":[0.006869589,0.0009099074,0.001185409,0.01185045,0.0004448877,0.002614638,0.003038232,0.001995031,0.2681757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001624057,"about_ca_system_score_gemma":0.002819957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02150881,"about_ca_topic_score_gemma":0.03942456,"domain_scores_codex":[0.9987619,0.0001684286,0.0001648869,0.0004100894,0.0002861649,0.0002084729],"domain_scores_gemma":[0.9969801,0.0007603116,0.0002858234,0.0007698162,0.0008338532,0.0003700657],"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":[0.00002354394,0.000007657147,0.0002851074,0.0004897983,0.00001358809,0.000010709,0.00001870346,0.00008365668,0.00008839168,0.0003459374,0.9973238,0.001309097],"study_design_scores_gemma":[0.00005681159,0.000006300893,0.001477241,0.0001887447,0.00001289761,0.00002786646,0.00005806252,0.00009044461,0.0001435715,0.0006908582,0.9972325,0.00001485048],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002936673,0.00002602927,0.00003995281,0.00003178821,0.00001122915,0.000005186636,0.9988866,0.0003149621,0.0006547747],"genre_scores_gemma":[0.000127876,0.00003731855,0.0001735417,0.00004414069,0.000003903295,0.0000388706,0.9989403,0.0001484694,0.0004856192],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8089181,"threshold_uncertainty_score":0.6392328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}