{"id":"W6924466149","doi":"10.15468/dl.k5cjmu","title":"Occurrence Download","year":2022,"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); Alien; Species name","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":[0.0009567391,0.001864553,0.001541527,0.004553643,0.0009941667,0.002502698,0.002712512,0.002064613,0.1575651],"category_scores_gemma":[0.005761964,0.0008890675,0.001217614,0.008765207,0.0004503486,0.002369771,0.002563752,0.001976641,0.2222532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001464091,"about_ca_system_score_gemma":0.002215936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02053035,"about_ca_topic_score_gemma":0.034001,"domain_scores_codex":[0.9990416,0.0001322331,0.0001164961,0.0003373392,0.0002112437,0.0001609983],"domain_scores_gemma":[0.9975509,0.0007059413,0.0002133169,0.0006708035,0.0005732225,0.0002858803],"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":[0.00002674981,0.00001190655,0.0003603158,0.0004797126,0.00001284511,0.00001436173,0.00002280006,0.0001208414,0.000112867,0.0003438367,0.9970976,0.001396132],"study_design_scores_gemma":[0.0000753812,0.000009493162,0.002006442,0.0001891483,0.0000134754,0.00003841634,0.00007982956,0.0001744513,0.0001896683,0.0007561792,0.9964499,0.0000175205],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005096006,0.00002823341,0.00004988483,0.00004358621,0.00001499175,0.000006273825,0.9986541,0.0004625596,0.0006894426],"genre_scores_gemma":[0.0001747237,0.00003433883,0.0002110459,0.00005050793,0.000004060797,0.00004579023,0.9988154,0.0001598878,0.0005042693],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8424349,"threshold_uncertainty_score":0.527108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}