{"id":"W6905913012","doi":"10.15468/dl.xgx8ra","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); Listing (finance); Range (aeronautics); Order (exchange)","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":[0.001067109,0.001938976,0.00142874,0.005416278,0.0007899548,0.002362328,0.002651816,0.001622147,0.1909774],"category_scores_gemma":[0.005762027,0.0008749865,0.00110699,0.01035665,0.0004123087,0.002223787,0.002484652,0.001604753,0.2367814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001724815,"about_ca_system_score_gemma":0.002407281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02687969,"about_ca_topic_score_gemma":0.04053796,"domain_scores_codex":[0.9990587,0.000118179,0.0001267204,0.0002916731,0.000223095,0.0001816712],"domain_scores_gemma":[0.997535,0.0005982013,0.0002488747,0.0006267284,0.0006910081,0.0003001629],"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":[0.00002949541,0.000007979234,0.0003225443,0.0004865972,0.00001298338,0.00001164047,0.00001695961,0.0001018357,0.00009443402,0.0003466863,0.9971169,0.001451767],"study_design_scores_gemma":[0.00005976442,0.000006597158,0.001904903,0.0001946265,0.00001258252,0.00002776731,0.00005055485,0.0001079674,0.000176961,0.0006518505,0.9967909,0.00001554645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002164224,0.00001498537,0.00002434709,0.00002149968,0.00000708924,0.000003804725,0.9991242,0.0002267561,0.0005556814],"genre_scores_gemma":[0.000127372,0.00002797276,0.0001381525,0.00003811028,0.000002969531,0.00003191739,0.9990577,0.0001140723,0.0004616886],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8090227,"threshold_uncertainty_score":0.6388829,"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."}}