{"id":"W6924595779","doi":"10.15468/dl.ntcfhp","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Mechanics and Biomechanics Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Alien; State (computer science)","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":[0.0009588028,0.002157261,0.00153673,0.004390426,0.001058741,0.002488934,0.003012975,0.002394631,0.1329867],"category_scores_gemma":[0.005713048,0.0008452518,0.001336134,0.007758961,0.0004780588,0.002314122,0.002553752,0.002061864,0.2073117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001583185,"about_ca_system_score_gemma":0.002198845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02093234,"about_ca_topic_score_gemma":0.03502515,"domain_scores_codex":[0.9990169,0.000140992,0.0001230561,0.000344466,0.0002150874,0.0001595173],"domain_scores_gemma":[0.9977831,0.000616791,0.0001883629,0.000620396,0.0005527447,0.000238589],"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":[0.0000307455,0.000015113,0.0004127065,0.0004796252,0.00001377746,0.00001592337,0.00002146229,0.0001670681,0.0001002192,0.0003576117,0.9968721,0.001513622],"study_design_scores_gemma":[0.00009076148,0.00001120924,0.001985339,0.0001988903,0.00001469053,0.00004123439,0.00008434604,0.0002763728,0.0002096143,0.0009679378,0.9960997,0.00001997019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005615891,0.00003046211,0.00005359616,0.00004638988,0.0000149708,0.000007231383,0.9986523,0.0004980348,0.0006408484],"genre_scores_gemma":[0.0001721767,0.00003176216,0.0002261166,0.00004819873,0.000003975455,0.00004627352,0.9988992,0.0001293843,0.0004428616],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8670133,"threshold_uncertainty_score":0.4448848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01296860237358471,"score_gpt":0.1913195296445505,"score_spread":0.1783509272709658,"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."}}