{"id":"W6962460700","doi":"10.15468/dl.wehrcv","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); Data modeling","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":[0.001004035,0.002005937,0.001616771,0.0052538,0.0008996475,0.002559174,0.002849657,0.002106976,0.1259973],"category_scores_gemma":[0.005869814,0.0008746831,0.001205617,0.01027068,0.0004467819,0.002208426,0.002611726,0.001987795,0.1909449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001572786,"about_ca_system_score_gemma":0.002332111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02010604,"about_ca_topic_score_gemma":0.03475675,"domain_scores_codex":[0.998884,0.0001484519,0.0001541345,0.0003821357,0.0002472968,0.0001840253],"domain_scores_gemma":[0.9974573,0.0006548828,0.0002790143,0.000678133,0.0006147462,0.0003158677],"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":[0.0000341647,0.00001381389,0.0004988115,0.0006250642,0.0000192812,0.0000176765,0.00002415536,0.0001449368,0.0001412023,0.0003759536,0.9966244,0.001480575],"study_design_scores_gemma":[0.00008781227,0.00001064197,0.002513695,0.0002249244,0.00001833917,0.0000469768,0.00007356931,0.0001681297,0.0002124837,0.0007376546,0.9958866,0.00001916927],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004805159,0.00002971171,0.00003747983,0.00003216137,0.00001139574,0.00000517512,0.9990336,0.0002937065,0.0005087107],"genre_scores_gemma":[0.0001432473,0.00003112724,0.0001499839,0.00003720149,0.000003201854,0.00003370471,0.9991838,0.0000861024,0.0003316434],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8740027,"threshold_uncertainty_score":0.4215029,"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."}}