{"id":"W6905813045","doi":"10.15468/dl.kdawqs","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 set","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":[0.001017551,0.001887857,0.001601983,0.005263526,0.0009828114,0.002534734,0.002778052,0.001997679,0.1671843],"category_scores_gemma":[0.006440558,0.0009319666,0.001151985,0.01002742,0.0004452233,0.002250384,0.002537231,0.001932971,0.2148541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001506011,"about_ca_system_score_gemma":0.002356098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02115221,"about_ca_topic_score_gemma":0.03580773,"domain_scores_codex":[0.9989342,0.0001511794,0.000140506,0.0003775046,0.0002240212,0.0001726166],"domain_scores_gemma":[0.9973162,0.0008083511,0.0002542828,0.0006829475,0.0006363718,0.0003018341],"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":[0.00002903745,0.00001080481,0.0003874575,0.0005910969,0.00001596481,0.00001514189,0.00002386955,0.0001181696,0.0001121298,0.0003706166,0.9970006,0.001325031],"study_design_scores_gemma":[0.0000769482,0.000008361787,0.001928851,0.0002077035,0.0000160552,0.00003837858,0.00007243597,0.0001305319,0.000175,0.000769161,0.9965582,0.00001833397],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003846205,0.00002646152,0.00004022582,0.00003300263,0.00001070948,0.000004930844,0.9989828,0.0003060419,0.0005571915],"genre_scores_gemma":[0.0001670909,0.00003461713,0.0001837693,0.00004739874,0.000003520654,0.00004331885,0.9989173,0.0001387264,0.0004641942],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8328158,"threshold_uncertainty_score":0.5592871,"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."}}