{"id":"W6943692506","doi":"10.15468/dl.wnhtuc","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":[0.00100611,0.001985457,0.001566779,0.005174879,0.001028861,0.002448933,0.002872338,0.002135897,0.1464936],"category_scores_gemma":[0.005695086,0.000895686,0.001180296,0.009714828,0.0004782147,0.002246865,0.002519198,0.002008997,0.2033831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001599328,"about_ca_system_score_gemma":0.002296311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02213244,"about_ca_topic_score_gemma":0.03740026,"domain_scores_codex":[0.9989906,0.0001392079,0.0001270009,0.0003529499,0.0002213847,0.0001689348],"domain_scores_gemma":[0.9976032,0.0006820423,0.000229495,0.0006308955,0.0005755945,0.0002787519],"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":[0.00002977147,0.00001285286,0.0004119486,0.0005661281,0.00001507724,0.00001650185,0.00002583755,0.0001395439,0.0001332869,0.0003786571,0.9967733,0.001497139],"study_design_scores_gemma":[0.0000736018,0.000008941241,0.001993753,0.0001925839,0.00001468441,0.00004081808,0.00008048506,0.0001600421,0.0001942029,0.0007205372,0.9965022,0.00001805805],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005280057,0.00003116399,0.00004796926,0.00003772213,0.0000135183,0.000005648299,0.9987696,0.0003816417,0.0006599473],"genre_scores_gemma":[0.0001774182,0.00003394787,0.0002067014,0.00004388559,0.000003467431,0.00004345296,0.9988996,0.0001387165,0.0004528749],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8535064,"threshold_uncertainty_score":0.49007,"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."}}