{"id":"W6924601270","doi":"10.15468/dl.s8h6fh","title":"Occurrence Download","year":2018,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Lithobates; Range (aeronautics)","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":[0.0008809529,0.00189384,0.00146263,0.004639982,0.000901165,0.002422629,0.002962949,0.00208772,0.1149603],"category_scores_gemma":[0.005559864,0.0006974908,0.001077165,0.009172282,0.0004319925,0.002000035,0.002188904,0.001997094,0.1620108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001622973,"about_ca_system_score_gemma":0.002170236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01541102,"about_ca_topic_score_gemma":0.02734764,"domain_scores_codex":[0.9990975,0.0001248757,0.0001136307,0.0002934147,0.0002227331,0.0001479524],"domain_scores_gemma":[0.9980444,0.000515607,0.0001807347,0.0005353307,0.0004824678,0.0002414992],"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":[0.00003124514,0.00001594916,0.0004022842,0.0004796851,0.00001480286,0.00001454803,0.00001790374,0.0001731215,0.00009418619,0.0004813835,0.9967296,0.001545236],"study_design_scores_gemma":[0.0001063936,0.000009955656,0.001878984,0.0001757082,0.00001450245,0.00004488827,0.00006807188,0.0003109568,0.0002081661,0.001054203,0.9961133,0.00001479656],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007731267,0.00004294538,0.00005286868,0.00004845925,0.00001414617,0.000007365174,0.9986436,0.00040429,0.0007090078],"genre_scores_gemma":[0.0002048267,0.00003658908,0.0001879104,0.00003969682,0.000003650121,0.00004334144,0.9989961,0.00008472072,0.0004032188],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8850397,"threshold_uncertainty_score":0.3845805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01668460768661365,"score_gpt":0.2227517949990997,"score_spread":0.206067187312486,"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."}}