{"id":"W7053330005","doi":"","title":"Visit of Ambassador Marc Bichler, Permanent Representative of the Grand Duchy of Luxembourg to the UNOG","year":2024,"lang":"en","type":"other","venue":"CERN Document Server (European Organization for Nuclear Research)","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Duchy; German; Publishing; Quarter (Canadian coin)","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":[0.0006671303,0.0009975205,0.0005883923,0.001604737,0.002325839,0.002685142,0.0006043501,0.0009948082,0.5143982],"category_scores_gemma":[0.001263252,0.0003297039,0.000286716,0.0008939357,0.0004466201,0.001458091,0.001909326,0.001584928,0.3421704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00187805,"about_ca_system_score_gemma":0.001751365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02525706,"about_ca_topic_score_gemma":0.03862432,"domain_scores_codex":[0.9996074,0.00004611506,0.000006746734,0.00008427248,0.0001185685,0.0001368651],"domain_scores_gemma":[0.9991303,0.00004943756,0.00003816156,0.00004281505,0.0002889869,0.0004503542],"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":[0.00003156782,0.00000986137,0.0001536083,0.00003086615,0.000001368922,0.00008097825,0.00006840489,0.0000253839,0.0002956116,0.00111647,0.9811248,0.01706109],"study_design_scores_gemma":[0.000002949596,0.00001273807,0.0003906181,0.00001574598,7.589122e-7,0.00006104758,0.00009727309,0.00002257124,0.0001095616,0.0001789686,0.9991044,0.000003271506],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004179719,0.008841177,0.003175665,0.03492466,0.01547827,0.000289573,0.008091346,0.004753592,0.9202661],"genre_scores_gemma":[0.00241666,0.0007487139,0.000348844,0.000925032,0.0003783399,0.00001835365,0.0008330832,0.0005452703,0.9937856],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5143982,"threshold_uncertainty_score":0.6926521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02017129320020427,"score_gpt":0.2726837361238568,"score_spread":0.2525124429236525,"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."}}