{"id":"W6924973049","doi":"10.15468/dl.ttk6y5","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; Matching (statistics); Range (aeronautics); 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":[0.0009329306,0.001902984,0.00156144,0.004744029,0.0009061875,0.00235885,0.00264535,0.001919873,0.1513325],"category_scores_gemma":[0.005477123,0.000905372,0.001124388,0.009427229,0.0004301426,0.002100535,0.002486448,0.001905772,0.2036086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001545029,"about_ca_system_score_gemma":0.002215171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02277914,"about_ca_topic_score_gemma":0.03612281,"domain_scores_codex":[0.9990983,0.0001175844,0.0001156022,0.0003092343,0.0002033403,0.0001559299],"domain_scores_gemma":[0.9978382,0.000610503,0.00021016,0.0005665259,0.000520014,0.000254531],"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":[0.00002945684,0.00001079884,0.0004104408,0.0005546827,0.00001601628,0.00001567459,0.00002761311,0.0001389528,0.0001335712,0.00040309,0.9967128,0.001547018],"study_design_scores_gemma":[0.00007045786,0.000007459039,0.001988343,0.00018743,0.00001439174,0.00003762698,0.00007419009,0.0001501952,0.0001903348,0.0006929736,0.9965696,0.00001708168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004266207,0.00002528452,0.00004623598,0.00003158772,0.00001052565,0.000004838509,0.9988698,0.0003890752,0.0005798916],"genre_scores_gemma":[0.0001672336,0.00003244597,0.0002070381,0.00004023517,0.000003056719,0.000040542,0.9989281,0.000164615,0.0004166511],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8486676,"threshold_uncertainty_score":0.5062575,"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."}}