{"id":"W6905508478","doi":"10.15468/dl.lqff5w","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); Reference data; Set (abstract data type)","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":[0.001026806,0.002058418,0.001575169,0.005293502,0.0009272007,0.002598185,0.002890529,0.002014401,0.1391654],"category_scores_gemma":[0.006039522,0.00087641,0.001252623,0.01001767,0.000423771,0.002237895,0.002661082,0.001954117,0.2039149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001682793,"about_ca_system_score_gemma":0.002465441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02241345,"about_ca_topic_score_gemma":0.03745965,"domain_scores_codex":[0.9988611,0.0001553417,0.0001520176,0.0003801773,0.0002571782,0.000194207],"domain_scores_gemma":[0.997531,0.0006272959,0.0002609689,0.0006786502,0.000606226,0.0002958767],"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":[0.00003157705,0.00001129384,0.0004014908,0.0005371368,0.00001759503,0.00001382199,0.00002099098,0.0001239152,0.0001079905,0.0003780491,0.9969806,0.001375526],"study_design_scores_gemma":[0.00007863581,0.000009035692,0.002149211,0.0001999807,0.00001650911,0.00003709752,0.00005894242,0.0001548113,0.0001954929,0.0007585225,0.9963241,0.00001785636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004297055,0.00003016714,0.00003877928,0.00003350302,0.00001067444,0.000005245284,0.9988953,0.0003515125,0.0005917781],"genre_scores_gemma":[0.0001458753,0.00003209037,0.0001482498,0.00003982783,0.000003120057,0.00003269837,0.9991085,0.000105612,0.00038394],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8608346,"threshold_uncertainty_score":0.4655548,"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."}}