{"id":"W6962364990","doi":"10.15468/dl.qv6yyj","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); State (computer science); Confidentiality","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":[0.001000033,0.001991172,0.001510749,0.004988368,0.001002507,0.002493628,0.00288224,0.002053412,0.156847],"category_scores_gemma":[0.00586997,0.0008943395,0.001150319,0.00958596,0.0004551831,0.002341141,0.00247696,0.002058465,0.2195294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001593207,"about_ca_system_score_gemma":0.002263197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02182944,"about_ca_topic_score_gemma":0.03678338,"domain_scores_codex":[0.998991,0.0001427414,0.0001251873,0.0003540153,0.00021753,0.0001695145],"domain_scores_gemma":[0.99755,0.0007053993,0.0002305624,0.0006412262,0.0005904735,0.000282394],"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":[0.00002704186,0.00001122057,0.0003561375,0.0004757816,0.0000137013,0.00001368778,0.00002286574,0.0001279324,0.0001063013,0.0003739818,0.9971433,0.001328005],"study_design_scores_gemma":[0.00006886249,0.000007682776,0.001706136,0.0001764126,0.00001330269,0.00003496727,0.00007438989,0.0001558692,0.0001805284,0.0007860871,0.9967788,0.00001704198],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004392783,0.00002520288,0.00004736174,0.00003609016,0.00001238082,0.000005173878,0.9987898,0.0003702629,0.0006697788],"genre_scores_gemma":[0.0001608027,0.00002990841,0.0001950057,0.00004202716,0.000003499491,0.00003988767,0.9989171,0.0001451803,0.0004665614],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8431529,"threshold_uncertainty_score":0.5247056,"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."}}