{"id":"W6887233752","doi":"10.15468/dl.x6ymba","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); State (computer science); Confidentiality","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":[0.0009911909,0.001957589,0.001507157,0.004845258,0.001036373,0.002503972,0.002865173,0.002077881,0.1614624],"category_scores_gemma":[0.005831568,0.0009093848,0.001143568,0.009524563,0.0004601286,0.002498941,0.002592018,0.002124104,0.2281717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001571912,"about_ca_system_score_gemma":0.002279407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02011112,"about_ca_topic_score_gemma":0.03663583,"domain_scores_codex":[0.9989426,0.0001567874,0.0001279364,0.0003763761,0.0002268305,0.0001695305],"domain_scores_gemma":[0.9973714,0.0007310217,0.0002368884,0.0007289854,0.0006363326,0.0002953981],"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":[0.00002509458,0.0000114004,0.0003218592,0.0004403076,0.0000122095,0.00001276217,0.00002199265,0.0001169465,0.00009495912,0.0003707392,0.9973018,0.001269906],"study_design_scores_gemma":[0.00006450042,0.000007435442,0.00150621,0.0001634748,0.00001149501,0.00003192372,0.00007058076,0.0001450833,0.0001615887,0.0008274459,0.996994,0.00001628914],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004271587,0.00002555941,0.00004858031,0.0000381698,0.00001293958,0.000005596496,0.9987141,0.0003834125,0.0007289535],"genre_scores_gemma":[0.0001553023,0.00003129258,0.0002147682,0.00004656511,0.000003614539,0.00004293269,0.998841,0.0001554192,0.0005090283],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8385376,"threshold_uncertainty_score":0.5401455,"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."}}