{"id":"W6943503070","doi":"10.15468/dl.vf28ss","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":[0.001021712,0.001962816,0.001581125,0.004907422,0.00100824,0.002541315,0.002901283,0.002129043,0.1542845],"category_scores_gemma":[0.005810025,0.0009133182,0.00117163,0.009424188,0.0004638883,0.002352203,0.002540039,0.0020787,0.2138563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00156746,"about_ca_system_score_gemma":0.002223102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02072442,"about_ca_topic_score_gemma":0.03440012,"domain_scores_codex":[0.9989605,0.0001488679,0.0001339963,0.0003677234,0.000219716,0.0001692623],"domain_scores_gemma":[0.9974801,0.0007107217,0.0002404616,0.0006864565,0.0005984052,0.0002839432],"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":[0.00002834975,0.00001202473,0.0003664597,0.0005243669,0.00001537463,0.00001481004,0.00002389106,0.0001341883,0.0001126729,0.0003829255,0.9970362,0.001348716],"study_design_scores_gemma":[0.00007521593,0.000008247303,0.001775131,0.0001830127,0.00001443281,0.00003775489,0.00007384509,0.000160575,0.0001795046,0.0007863641,0.9966879,0.00001804737],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004245118,0.00002656418,0.00004577486,0.00003573442,0.00001251432,0.000005275233,0.9988686,0.0003525527,0.0006104854],"genre_scores_gemma":[0.0001592551,0.00003206494,0.0001987601,0.00004461284,0.000003511736,0.00004110374,0.9989436,0.0001364408,0.0004406364],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8457155,"threshold_uncertainty_score":0.5161332,"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."}}