{"id":"W6924825001","doi":"10.15468/dl.s8tzru","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Adhesion, Friction, and Surface Interactions","field":"Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000132035,0.0002660414,0.0002210526,0.0001132143,0.0004699478,0.00009907963,0.0003715012,0.0002159261,0.06085644],"category_scores_gemma":[0.00004804323,0.0003078066,0.0001551681,0.0003367384,0.00005601041,0.001024064,0.000152096,0.0004518876,0.07001441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006945729,"about_ca_system_score_gemma":0.00006544247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003606108,"about_ca_topic_score_gemma":0.00002702777,"domain_scores_codex":[0.9987893,0.00004016306,0.0003625568,0.0001519556,0.000403593,0.0002524325],"domain_scores_gemma":[0.9992239,0.00002380338,0.0001064845,0.0004014263,0.0001185426,0.0001257679],"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":[0.00001245104,0.00001890564,0.0003519505,0.0001089842,0.00004155659,0.00000145722,0.00006775034,0.002186665,7.413738e-8,4.939089e-8,0.9967946,0.0004155263],"study_design_scores_gemma":[0.0001422162,0.00001935725,0.00006420643,0.000001197311,0.00003998439,0.000007650505,0.0003119199,0.000004509072,0.00000230048,5.027175e-7,0.9991203,0.0002858622],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006645898,0.00003851037,0.00002207083,0.0000309223,0.002369858,0.0002028097,0.9959543,0.0003568688,0.0003600163],"genre_scores_gemma":[0.00003412835,0.0002718722,0.000001261266,0.00009446649,0.00000184924,0.000008292227,0.9995877,3.325318e-8,4.021205e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009157969,"threshold_uncertainty_score":0.9999374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01111492521145738,"score_gpt":0.203274190701331,"score_spread":0.1921592654898736,"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."}}