{"id":"W6887260163","doi":"10.15468/dl.vxb2c2","title":"Occurrence Download","year":2023,"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); Alien; The Internet","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":[0.001035632,0.001982234,0.001631464,0.00507506,0.001070881,0.002557537,0.002871161,0.002221407,0.1411865],"category_scores_gemma":[0.006264916,0.0008998476,0.001342356,0.009899826,0.0004718735,0.002381994,0.002598668,0.002026869,0.2046881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001634719,"about_ca_system_score_gemma":0.00245167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02352951,"about_ca_topic_score_gemma":0.03787847,"domain_scores_codex":[0.9988406,0.0001629158,0.0001483301,0.0004009119,0.0002583598,0.0001888015],"domain_scores_gemma":[0.9972504,0.0007938418,0.0002420654,0.00074335,0.0006771729,0.0002932004],"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":[0.00003196867,0.00001315985,0.000411452,0.0005825568,0.0000154168,0.00001648787,0.00002478756,0.0001294567,0.0001206424,0.0003594293,0.9968128,0.001481833],"study_design_scores_gemma":[0.00007646474,0.00001015016,0.002176708,0.0002178114,0.00001571118,0.00004217801,0.00008729034,0.0001647971,0.0002005687,0.0007555967,0.9962333,0.00001939244],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004962228,0.00003127567,0.00004375089,0.00004164051,0.00001351622,0.000006143621,0.9987936,0.0004045561,0.0006158492],"genre_scores_gemma":[0.0001660565,0.00003576942,0.0001971358,0.00004740486,0.000003624206,0.00004319153,0.9989426,0.0001304679,0.0004338095],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8588135,"threshold_uncertainty_score":0.4723158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}