{"id":"W6930465056","doi":"10.5281/zenodo.11648735","title":"Buy fake USD $ ( WHATSAPP : +1(725) 867-9567 ) Buy Fake Canadian Dollars ( CAD )","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Limiting; Guard (computer science); Pledge; Population; Work (physics)","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":["insufficient_payload"],"category_scores_codex":[0.0007950963,0.001601784,0.0009254673,0.001896231,0.002706089,0.006543427,0.00116437,0.002811686,0.9156544],"category_scores_gemma":[0.007102439,0.0007764324,0.0006575302,0.001494758,0.0008798208,0.005040191,0.002845516,0.001492189,0.85772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002658382,"about_ca_system_score_gemma":0.002257622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01675301,"about_ca_topic_score_gemma":0.02865566,"domain_scores_codex":[0.9984836,0.00008886625,0.00005566435,0.0001955036,0.0009585025,0.0002177947],"domain_scores_gemma":[0.9938362,0.0004955038,0.0002082082,0.0007717095,0.003480411,0.001207973],"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":[0.00003126122,0.00002112857,0.0001394656,0.0000550073,0.000002140092,0.00004831027,0.00001989259,0.00003682953,0.0002675342,0.001599208,0.9512545,0.04652479],"study_design_scores_gemma":[0.000007801968,0.00001596615,0.0005205998,0.00004718736,0.000003022407,0.0001099347,0.00006125391,0.0001100505,0.0002552066,0.0002892099,0.9985672,0.00001243446],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004950377,0.0003086908,0.0008035523,0.001457417,0.001289349,0.0001043932,0.002323245,0.002294489,0.9909238],"genre_scores_gemma":[0.002113656,0.0002613238,0.000423263,0.0005597789,0.0001626957,0.00003308138,0.001007435,0.0005830324,0.9948556],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08434564,"threshold_uncertainty_score":0.1203088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09886817891689002,"score_gpt":0.3387565494508687,"score_spread":0.2398883705339787,"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."}}