{"id":"W6887230483","doi":"10.15468/dl.sz8gay","title":"Occurrence Download","year":2022,"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 file; Raw data","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":[0.0009268581,0.002130981,0.001668399,0.005112131,0.001018684,0.002601916,0.002881848,0.002018304,0.1567353],"category_scores_gemma":[0.005447236,0.000911464,0.00118017,0.01019566,0.0004639114,0.002244922,0.002686922,0.001969636,0.2227463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001609695,"about_ca_system_score_gemma":0.002497539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02655867,"about_ca_topic_score_gemma":0.04544867,"domain_scores_codex":[0.99902,0.0001250148,0.0001208042,0.000336784,0.0002263204,0.0001712003],"domain_scores_gemma":[0.997841,0.0005892847,0.0001993138,0.0005638873,0.0005372836,0.0002691725],"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":[0.00003019873,0.00001112641,0.000375258,0.0005882553,0.0000165138,0.00001763915,0.00002782178,0.000135027,0.0001427563,0.0004053018,0.9967535,0.001496558],"study_design_scores_gemma":[0.00006437039,0.000007079578,0.001763895,0.0001803218,0.00001422232,0.00003886604,0.00007400964,0.0001372091,0.0001998276,0.0007113923,0.9967906,0.00001825308],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004050345,0.00002729268,0.00004571649,0.00002925461,0.00001083354,0.000004724104,0.9988105,0.0003997175,0.000631425],"genre_scores_gemma":[0.0001426821,0.00003019997,0.0001819916,0.00003574347,0.000002826052,0.00003471735,0.9990121,0.0001495587,0.0004102146],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8432647,"threshold_uncertainty_score":0.5243318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}