{"id":"W6905871511","doi":"10.15468/dl.pqjxpo","title":"Occurrence Download","year":2020,"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); Order (exchange); Data set","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":[0.001064519,0.001910754,0.001556295,0.004948681,0.0009414479,0.002399061,0.002848253,0.001956921,0.1576137],"category_scores_gemma":[0.005817157,0.0009053862,0.001120609,0.009906057,0.0004517665,0.002146719,0.002414274,0.001869443,0.214511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001669629,"about_ca_system_score_gemma":0.002453401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02434583,"about_ca_topic_score_gemma":0.03765572,"domain_scores_codex":[0.9989759,0.000133003,0.000130773,0.0003478868,0.0002391893,0.0001732087],"domain_scores_gemma":[0.9975623,0.0006685338,0.0002285329,0.0006253861,0.0006208147,0.0002945158],"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":[0.0000288122,0.00001058122,0.000350925,0.0004778052,0.00001434799,0.00001302739,0.00002111471,0.0001335341,0.0001137274,0.0003535408,0.9970599,0.001422625],"study_design_scores_gemma":[0.00007454169,0.000008612335,0.002162621,0.0001813099,0.00001509773,0.00003573726,0.00007068471,0.0001669816,0.0002046245,0.0007238746,0.9963374,0.00001842016],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003686419,0.00002287559,0.00003963121,0.0000312612,0.00001073996,0.000004272393,0.9989955,0.0003244421,0.0005343734],"genre_scores_gemma":[0.0001463202,0.00002786122,0.0001711392,0.00003725296,0.000002932073,0.000034726,0.9990283,0.0001279975,0.0004235159],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8423863,"threshold_uncertainty_score":0.5272703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}