{"id":"W6943618164","doi":"10.15468/dl.ra3qbq","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; The Internet","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":[0.0009803338,0.001926807,0.00152864,0.004815172,0.001052735,0.002669781,0.002876151,0.00208137,0.1705725],"category_scores_gemma":[0.005997577,0.0009048127,0.001247524,0.009011474,0.0004412218,0.00251867,0.00263949,0.002043856,0.2398299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001575727,"about_ca_system_score_gemma":0.00230439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02092161,"about_ca_topic_score_gemma":0.03483486,"domain_scores_codex":[0.9989848,0.0001456725,0.0001235074,0.0003613911,0.0002185296,0.0001661467],"domain_scores_gemma":[0.9976254,0.0006891657,0.0002005966,0.0006298533,0.0005926886,0.0002622161],"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":[0.00002502,0.00001119926,0.0003422055,0.0004892144,0.00001280922,0.00001397596,0.00002209247,0.0001100832,0.00009945251,0.0003482773,0.9971237,0.001402],"study_design_scores_gemma":[0.00006454747,0.000008226084,0.001712745,0.0001918895,0.00001307881,0.00003649688,0.00007763032,0.0001536349,0.0001747572,0.0007906921,0.996759,0.00001741904],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004194137,0.00002964091,0.00004731361,0.00004315055,0.00001402789,0.000006190171,0.9986993,0.0004095213,0.0007088949],"genre_scores_gemma":[0.0001555288,0.00003696518,0.0002083151,0.00005252708,0.000003995438,0.00004890416,0.9987875,0.0001567771,0.0005495075],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8294275,"threshold_uncertainty_score":0.5706218,"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."}}