{"id":"W4395604930","doi":"10.15468/dl.8ysf8e","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; World Wide Web","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":[0.001023734,0.001914453,0.001583238,0.004618038,0.00102246,0.002601909,0.002855627,0.002093632,0.1667863],"category_scores_gemma":[0.006239319,0.0009329155,0.001100277,0.009478046,0.0004332541,0.002349765,0.00253558,0.002106546,0.2164942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001752398,"about_ca_system_score_gemma":0.002364186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02391694,"about_ca_topic_score_gemma":0.03813661,"domain_scores_codex":[0.9989655,0.0001376201,0.0001335909,0.0003601293,0.0002418039,0.0001613927],"domain_scores_gemma":[0.9975792,0.0007104405,0.0002286096,0.0005881845,0.0006200814,0.0002735884],"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":[0.00002737995,0.00001072956,0.0003529612,0.0005101546,0.0000138925,0.00001562004,0.00002456259,0.0001238835,0.0001042719,0.0003954182,0.9971151,0.001306029],"study_design_scores_gemma":[0.00007205459,0.000006305625,0.001697132,0.0001678334,0.00001303979,0.0000325011,0.00006574517,0.0001607244,0.0001717905,0.0007568956,0.9968392,0.00001678435],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003472827,0.00002159783,0.00004642395,0.00003435931,0.000009719079,0.000004912971,0.9988242,0.0003774719,0.0006466531],"genre_scores_gemma":[0.0001715103,0.00003231532,0.0002143623,0.00004479163,0.000003272976,0.00004599955,0.9988378,0.0001816003,0.0004684745],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8332137,"threshold_uncertainty_score":0.5579557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01996441822405556,"score_gpt":0.2168608301763518,"score_spread":0.1968964119522962,"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."}}