{"id":"W6887145274","doi":"10.15468/dl.pijopc","title":"Occurrence Download","year":2016,"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); Confidentiality; Set (abstract data type)","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":[0.001028668,0.002102335,0.001618442,0.005044258,0.001006299,0.002631312,0.003164583,0.002116073,0.1326],"category_scores_gemma":[0.006318866,0.0009083226,0.001260289,0.00997187,0.0004570922,0.002529142,0.002668992,0.002174143,0.2042107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001677171,"about_ca_system_score_gemma":0.002441121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02141429,"about_ca_topic_score_gemma":0.03383587,"domain_scores_codex":[0.9988773,0.0001509337,0.0001389842,0.0003910434,0.0002581929,0.0001835349],"domain_scores_gemma":[0.9974655,0.000671033,0.0002425465,0.0007136191,0.0006102598,0.0002969929],"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":[0.00002831198,0.00001227493,0.0003899979,0.0004647445,0.00001448372,0.00001524014,0.00002299211,0.0001310823,0.0001105287,0.0003779411,0.99704,0.00139245],"study_design_scores_gemma":[0.00007055622,0.000008574359,0.001894506,0.0001830108,0.00001412942,0.00004243638,0.0000733144,0.0001852391,0.0002092772,0.0008268055,0.9964742,0.00001801552],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005436421,0.00003301623,0.00005482137,0.00004254986,0.00001437611,0.000005783229,0.9985911,0.0005067864,0.0006971059],"genre_scores_gemma":[0.0001566346,0.00003089116,0.0001883201,0.00003888534,0.000003167635,0.00003627604,0.9989884,0.0001430435,0.0004143393],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8674,"threshold_uncertainty_score":0.4435912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}