{"id":"W6887329309","doi":"10.15468/dl.uc7dxd","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; SAINT; Matching (statistics); Range (aeronautics); Patron saint","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":[0.0009774184,0.001909719,0.00167605,0.005158801,0.001110077,0.002868314,0.002822642,0.002257881,0.1698153],"category_scores_gemma":[0.006691121,0.0009599824,0.001332855,0.01055197,0.000408807,0.002593814,0.002475078,0.002082926,0.2317345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001733335,"about_ca_system_score_gemma":0.002416887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0227841,"about_ca_topic_score_gemma":0.03467608,"domain_scores_codex":[0.9988556,0.000151281,0.0001579835,0.0003947582,0.0002485893,0.0001917657],"domain_scores_gemma":[0.9973854,0.0007504258,0.0002295832,0.0006460545,0.0007089088,0.0002796383],"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":[0.00003178976,0.00001064085,0.0003979141,0.0005655361,0.00001535484,0.00001504415,0.00002104718,0.0001281459,0.000105025,0.0003559375,0.996713,0.00164055],"study_design_scores_gemma":[0.00007843057,0.000008025478,0.001828703,0.0002046882,0.00001421174,0.00003440927,0.00007117748,0.0001789849,0.0001559107,0.0007317103,0.9966772,0.00001665918],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003681957,0.00002937354,0.0000407562,0.00003874066,0.00001243531,0.000004964085,0.9988859,0.0003588378,0.0005922383],"genre_scores_gemma":[0.0001476535,0.00003848692,0.0001939977,0.00004900592,0.00000382914,0.00004064811,0.9989243,0.0001384992,0.0004635213],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8301846,"threshold_uncertainty_score":0.5680889,"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."}}