{"id":"W6906119547","doi":"10.15468/dl.uuujgp","title":"Occurrence Download","year":2017,"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; 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":[0.001023252,0.002032635,0.001608843,0.005362332,0.001011873,0.002643334,0.00305677,0.00212165,0.1244294],"category_scores_gemma":[0.005769438,0.0008434525,0.001232352,0.01049261,0.0004582124,0.002288179,0.002591562,0.002139463,0.186195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001703047,"about_ca_system_score_gemma":0.002600157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02387456,"about_ca_topic_score_gemma":0.03978283,"domain_scores_codex":[0.9988976,0.0001490023,0.0001400182,0.0003686421,0.00025794,0.0001868604],"domain_scores_gemma":[0.9976337,0.0006433462,0.000232766,0.0006303206,0.0005864623,0.0002735069],"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":[0.00002842546,0.00001309766,0.000457896,0.0004997138,0.00001733737,0.0000165608,0.00002494111,0.0001505757,0.0001171947,0.0004365603,0.9968086,0.001429128],"study_design_scores_gemma":[0.00007162969,0.000008566983,0.002073696,0.0001950541,0.00001640616,0.00004314148,0.00008024647,0.0001902755,0.0002033205,0.000820327,0.9962789,0.00001842475],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005497208,0.00003601926,0.00005145787,0.00004096562,0.00001360857,0.000005324243,0.998744,0.0004070014,0.0006466144],"genre_scores_gemma":[0.0001577256,0.00003364719,0.0001655253,0.00003548205,0.000003038067,0.00003201186,0.9990882,0.0001101144,0.0003742669],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8755706,"threshold_uncertainty_score":0.4162579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}