{"id":"W6924561973","doi":"10.15468/dl.k8cy4c","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); State (computer science); 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":[0.000936807,0.00200142,0.001629009,0.004441402,0.0009614221,0.002534006,0.002865485,0.002155428,0.1429216],"category_scores_gemma":[0.005561949,0.0009391033,0.001174537,0.009236293,0.0004552026,0.002297133,0.002387795,0.002146622,0.2007134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00160247,"about_ca_system_score_gemma":0.002231898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02277802,"about_ca_topic_score_gemma":0.03793559,"domain_scores_codex":[0.9989958,0.000142271,0.0001285316,0.0003497808,0.0002224625,0.0001612084],"domain_scores_gemma":[0.9976777,0.000644322,0.0002165688,0.0006083969,0.0005678695,0.0002850941],"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":[0.00002817253,0.00001250318,0.0003559014,0.0004778567,0.00001442999,0.00001475149,0.00002096727,0.0001494879,0.00009205229,0.0003678647,0.9973087,0.00115727],"study_design_scores_gemma":[0.0001010047,0.000008421966,0.001875494,0.0001773594,0.00001365457,0.00003571955,0.00007245148,0.0002055335,0.0001720968,0.0008512308,0.9964685,0.00001837917],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004189998,0.00002304975,0.00004079131,0.00003424297,0.00001087149,0.000005211507,0.9989686,0.0003320973,0.0005431253],"genre_scores_gemma":[0.0001600318,0.00002980273,0.0001762534,0.00004210179,0.000003362076,0.00004149621,0.9990213,0.0001240691,0.0004016084],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8570784,"threshold_uncertainty_score":0.4781202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01694939215093731,"score_gpt":0.2123806328429408,"score_spread":0.1954312406920035,"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."}}