{"id":"W6887195742","doi":"10.15468/dl.uamg9s","title":"Occurrence Download","year":2023,"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); Ailanthus altissima; Range (aeronautics); Data set","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":[0.0009566516,0.001983398,0.001570012,0.004992694,0.001002588,0.002434603,0.002841339,0.002161106,0.1413149],"category_scores_gemma":[0.005774256,0.00087514,0.001217977,0.00929271,0.0004587082,0.002213845,0.00251519,0.001943969,0.2044854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001660999,"about_ca_system_score_gemma":0.00240425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02207613,"about_ca_topic_score_gemma":0.03595401,"domain_scores_codex":[0.9989825,0.0001318679,0.0001292528,0.0003503218,0.0002343487,0.0001717725],"domain_scores_gemma":[0.9976867,0.0006362909,0.0002209344,0.0006225618,0.0005641815,0.0002692085],"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":[0.00003187705,0.00001210423,0.0004193516,0.0005447074,0.00001575055,0.00001796093,0.00002551206,0.0001365663,0.0001405036,0.0003916262,0.9967546,0.001509412],"study_design_scores_gemma":[0.00007346961,0.000008935564,0.001972402,0.0001905482,0.00001525365,0.00004386355,0.00007848751,0.0001628911,0.0002158892,0.000763726,0.9964557,0.00001876965],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004647496,0.00002797355,0.0000451862,0.00003719373,0.00001218559,0.000005216624,0.9988011,0.0004189142,0.0006057199],"genre_scores_gemma":[0.0001618247,0.00003105956,0.0001921428,0.00004236307,0.000003164346,0.00003689191,0.9989825,0.00013698,0.0004130903],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8586851,"threshold_uncertainty_score":0.4727454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}