{"id":"W6924740195","doi":"10.15468/dl.sdbcfx","title":"Occurrence Download","year":2017,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Corporate Management and Leadership","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Baccharis; Identification (biology)","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":[0.001078208,0.001936384,0.001471949,0.004947739,0.0009459596,0.002688216,0.00295628,0.002094638,0.1107493],"category_scores_gemma":[0.006119762,0.0008189505,0.001161023,0.009910885,0.0004675863,0.002133562,0.002466784,0.00213991,0.1748804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001774212,"about_ca_system_score_gemma":0.002578403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02164849,"about_ca_topic_score_gemma":0.03476934,"domain_scores_codex":[0.9988769,0.0001624435,0.0001468871,0.0003649986,0.0002604586,0.0001882769],"domain_scores_gemma":[0.9975762,0.0006897653,0.0002478371,0.0006284851,0.0005887475,0.0002689784],"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":[0.00002902037,0.00001252565,0.0004482757,0.0004606284,0.00001572569,0.00001737643,0.00002304558,0.0001586567,0.00009431689,0.0004564328,0.996932,0.001351995],"study_design_scores_gemma":[0.00007843172,0.000008431803,0.001986487,0.0001956446,0.00001497024,0.00004180138,0.00007598326,0.0002140777,0.0001821381,0.0008711861,0.9963136,0.00001712622],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005207714,0.00003202797,0.00004843053,0.00004181193,0.00001348103,0.000005750119,0.9988629,0.000363532,0.0005800778],"genre_scores_gemma":[0.0001607066,0.00003342875,0.0001617042,0.00003721083,0.000003419084,0.00003802484,0.999084,0.0001045324,0.0003769536],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8892507,"threshold_uncertainty_score":0.3704934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04041424548159073,"score_gpt":0.2254883852151834,"score_spread":0.1850741397335927,"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."}}