{"id":"W6968971833","doi":"10.5281/zenodo.3875739","title":"PUBG MOBILE HACK FREEE!","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Technologies and Applied Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TSG101; Dysgeusia; Hexamethylbenzene; Pretext; Mobile device","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001757232,0.0001119624,0.0001123661,0.00006942326,0.001263312,0.0007373479,0.002544966,0.00004655807,0.0008089374],"category_scores_gemma":[0.0002155997,0.0001161441,0.00003856578,0.0007382697,0.00008091079,0.000303871,0.003642475,0.0002583696,0.004772968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004712982,"about_ca_system_score_gemma":0.00000193615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001549868,"about_ca_topic_score_gemma":1.510273e-8,"domain_scores_codex":[0.9987149,0.00006005142,0.0001718675,0.0004745916,0.0002414965,0.0003370591],"domain_scores_gemma":[0.9990882,0.00001726758,0.00007614677,0.0004972646,0.0001696432,0.0001514435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008276822,0.00004745695,0.000001005108,0.00002497867,0.0000144828,0.00002221147,0.0008650398,0.001198542,0.004659795,0.1111966,0.07756815,0.8043934],"study_design_scores_gemma":[0.0002129012,0.0001955439,0.00002229774,0.000006576828,0.000001735606,0.00002749681,0.0001697223,0.02048325,0.001548058,0.001882324,0.9752999,0.0001502051],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005330765,0.00009195731,0.9300092,0.003847718,0.00007604479,0.0003583705,0.00001856371,0.005099574,0.05516776],"genre_scores_gemma":[0.9715513,0.00003992707,0.02658099,0.0008707598,0.0001520837,6.785589e-8,0.00008252332,0.0005983585,0.0001240169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9662205,"threshold_uncertainty_score":0.996002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03790961766998047,"score_gpt":0.2333697648936882,"score_spread":0.1954601472237077,"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."}}