{"id":"W7085482257","doi":"10.6084/m9.figshare.30304384","title":"<b>FTUK Discount Code OFF99 – Global Access for All Traders</b>","year":2025,"lang":"en","type":"other","venue":"Figshare","topic":"Economic and Technological Innovation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Code (set theory); Coupon; Key (lock)","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":[0.0000510419,0.000261662,0.0005161068,0.0002014673,0.00003923181,0.0001467371,0.0007136459,0.0006515466,0.2528582],"category_scores_gemma":[0.0003319697,0.0002943355,0.0001689076,0.0002111504,0.00001379242,0.000110595,0.0001596272,0.000167202,0.003449408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001835216,"about_ca_system_score_gemma":0.0000422455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008956191,"about_ca_topic_score_gemma":0.0001912194,"domain_scores_codex":[0.9986148,0.000002817669,0.0004687828,0.0005958626,0.00001999547,0.0002976669],"domain_scores_gemma":[0.9989564,0.00003475335,0.0005509937,0.000395572,0.00002301652,0.00003928345],"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":[0.000002664616,0.00002520002,0.00009060081,0.0002047018,0.00006600266,8.364548e-7,0.000001632766,0.000001255853,2.508961e-8,0.1714381,0.8270608,0.001108199],"study_design_scores_gemma":[0.0003034932,0.00001988027,0.0003531522,0.0004100329,0.000006206253,4.53084e-7,0.000004128686,0.00015473,0.000004047589,0.04955035,0.9488787,0.0003148284],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000001417981,0.001138255,0.000256675,0.0005425467,0.0001711032,0.0004123439,0.4955133,0.0001833241,0.501781],"genre_scores_gemma":[0.00485161,0.0000991503,0.0006752495,0.003250351,0.0006653403,0.001389657,0.3213668,0.0003108777,0.6673909],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2494088,"threshold_uncertainty_score":0.9999509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1703895459964747,"score_gpt":0.3161693542067582,"score_spread":0.1457798082102834,"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."}}