{"id":"W6962117660","doi":"10.15468/dl.lcobic","title":"Occurrence Download","year":2015,"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 set; 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":[0.0009940777,0.001920192,0.001640282,0.005310052,0.0009058033,0.002502616,0.002938343,0.001963732,0.1424684],"category_scores_gemma":[0.006127007,0.0008877499,0.001185894,0.01027877,0.0004158276,0.002232155,0.002500256,0.001892302,0.1941616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001556041,"about_ca_system_score_gemma":0.002333998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02116629,"about_ca_topic_score_gemma":0.035497,"domain_scores_codex":[0.9989398,0.0001429461,0.0001430316,0.0003697265,0.0002311646,0.0001734144],"domain_scores_gemma":[0.997491,0.0006772294,0.0002586416,0.0006675288,0.0006121821,0.0002935011],"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":[0.00003001987,0.00001134409,0.0004415963,0.0005491169,0.00001751914,0.00001454253,0.00002219267,0.0001369986,0.0001031173,0.0003608225,0.9968584,0.001454339],"study_design_scores_gemma":[0.00007895544,0.000008865552,0.002383929,0.0002132069,0.00001700031,0.0000398213,0.00006730835,0.0001659174,0.0001863908,0.0007644896,0.9960556,0.00001845299],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004737994,0.00003096004,0.0000415006,0.00003252289,0.00001058749,0.000005059961,0.9989412,0.0003335817,0.0005571152],"genre_scores_gemma":[0.0001649505,0.00003220073,0.0001603359,0.0000381269,0.000003184433,0.0000360542,0.9990599,0.0001100835,0.0003951697],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8575316,"threshold_uncertainty_score":0.4766043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668786630850237,"score_gpt":0.2410469455301918,"score_spread":0.2143590792216895,"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."}}