{"id":"W6924792704","doi":"10.15468/dl.xerqkj","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); Alien; Range (aeronautics)","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":[0.0009331586,0.00197656,0.001496537,0.004626917,0.00102207,0.00247604,0.002720629,0.002136628,0.1603123],"category_scores_gemma":[0.005840789,0.0008654597,0.001266483,0.00859067,0.0004499596,0.002468522,0.002570539,0.002050228,0.2321837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00155519,"about_ca_system_score_gemma":0.002227625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02224998,"about_ca_topic_score_gemma":0.03689656,"domain_scores_codex":[0.9990108,0.0001417891,0.0001168333,0.0003548085,0.0002113325,0.0001644033],"domain_scores_gemma":[0.9975401,0.0006995806,0.0002062357,0.0006698223,0.0006150851,0.000269298],"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":[0.00002586095,0.00001156051,0.0003675453,0.0004542564,0.00001256917,0.00001402821,0.00002260952,0.0001241302,0.0001025131,0.0003335009,0.9971471,0.00138431],"study_design_scores_gemma":[0.00006686209,0.000009160696,0.00183254,0.0001865773,0.00001324412,0.00003606698,0.00008317013,0.000181015,0.0001823479,0.0008018973,0.9965893,0.00001787952],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004897965,0.0000295967,0.00005020587,0.00004463968,0.00001539998,0.000006285902,0.9986584,0.0004573739,0.0006890778],"genre_scores_gemma":[0.0001729903,0.00003356836,0.0002192022,0.00005199005,0.000004258298,0.00004549745,0.9987906,0.0001571955,0.0005247628],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8396878,"threshold_uncertainty_score":0.5362979,"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."}}