{"id":"W6924738388","doi":"10.15468/dl.r766qj","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"High-Temperature Coating Behaviors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Alien; Range (aeronautics); 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":[0.0009304145,0.002355121,0.001612336,0.004355832,0.001083543,0.002473096,0.002997541,0.002545242,0.103903],"category_scores_gemma":[0.005139211,0.0008627948,0.001465991,0.007761124,0.0004848849,0.002331027,0.002516602,0.002137168,0.1745498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616348,"about_ca_system_score_gemma":0.002199215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02141584,"about_ca_topic_score_gemma":0.03777556,"domain_scores_codex":[0.9989792,0.000138695,0.0001264788,0.0003779824,0.0002165352,0.0001611169],"domain_scores_gemma":[0.9978497,0.0005816446,0.0001898573,0.0006165315,0.0005214449,0.0002407939],"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":[0.00003979502,0.00002059732,0.0005615884,0.0006259173,0.00001844058,0.00002101086,0.00002616478,0.0002089429,0.0001609663,0.0003589281,0.9961931,0.001764558],"study_design_scores_gemma":[0.00009613787,0.00001475363,0.002509768,0.0002215774,0.00001858393,0.00005026738,0.00009249704,0.0003077275,0.0002792114,0.0009070604,0.9954785,0.00002405719],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006784365,0.00003527906,0.00005355575,0.00004578306,0.00001679389,0.000007570949,0.9986706,0.0005177603,0.0005847532],"genre_scores_gemma":[0.0001758956,0.00003410935,0.0002359265,0.00004890349,0.000003857681,0.00004518489,0.9989443,0.0001157751,0.0003959573],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8960971,"threshold_uncertainty_score":0.34759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01071990435601622,"score_gpt":0.2042534618497935,"score_spread":0.1935335574937773,"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."}}