{"id":"W6924787450","doi":"10.15468/dl.w0p10y","title":"Occurrence Download","year":2020,"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); Minor (academic); 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":[0.0009083318,0.001776743,0.001467891,0.004918079,0.001001418,0.002405269,0.002770539,0.002051452,0.1476315],"category_scores_gemma":[0.006082086,0.0008391684,0.001136857,0.009493534,0.0004458056,0.002234381,0.002347754,0.001931417,0.1935911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00161266,"about_ca_system_score_gemma":0.002228953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02392467,"about_ca_topic_score_gemma":0.03569504,"domain_scores_codex":[0.9990489,0.0001370114,0.000117159,0.0003242448,0.0002156053,0.0001570717],"domain_scores_gemma":[0.9975845,0.0007286524,0.0002106134,0.0006222454,0.0005884726,0.000265644],"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":[0.00002693015,0.00001124501,0.0004150037,0.0004433704,0.00001324858,0.00001507529,0.00002265844,0.0001296531,0.00009922041,0.0003398515,0.997022,0.001461654],"study_design_scores_gemma":[0.00007645405,0.00000888122,0.002345541,0.0002040331,0.00001457403,0.00004114749,0.0000866309,0.0002114706,0.0001882075,0.0007956824,0.9960095,0.00001783228],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005246232,0.00002802819,0.00004466368,0.00004260152,0.0000132449,0.000005641597,0.9987944,0.0003830242,0.0006358596],"genre_scores_gemma":[0.0001921586,0.00003272138,0.0001863851,0.00004779156,0.000003919036,0.00004438909,0.9988586,0.0001355441,0.0004985838],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8523685,"threshold_uncertainty_score":0.4938767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}