{"id":"W4297823504","doi":"10.5281/zenodo.7080951","title":"Skincell Advanced(Trusted Or Fake) Read Side Effects!","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Side channel attack; Internet privacy; Computer security; Cryptography","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":[0.002060164,0.0009562192,0.0009787673,0.001124499,0.001006845,0.00413847,0.001516382,0.005512951,0.3648044],"category_scores_gemma":[0.02120391,0.000484975,0.001058767,0.0007823007,0.001179394,0.004966666,0.002125524,0.004234168,0.2610426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008103919,"about_ca_system_score_gemma":0.001308763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000700795,"about_ca_topic_score_gemma":0.001005887,"domain_scores_codex":[0.9972602,0.0008555823,0.0002734141,0.0002851366,0.001109662,0.0002159267],"domain_scores_gemma":[0.9870021,0.004376096,0.001971572,0.001526115,0.004206368,0.0009176907],"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":[0.00008481261,0.00002587085,0.0001243707,0.001485549,0.00001956764,0.0002401348,0.0001471448,0.00004001152,0.001130925,0.003273972,0.8362899,0.1571377],"study_design_scores_gemma":[0.00001425596,0.00004810873,0.0001116731,0.0003852875,0.00001164133,0.0005725,0.00007004506,0.00004536159,0.000792073,0.0009059052,0.9970311,0.00001206704],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003079103,0.1378921,0.01574453,0.08489956,0.1248824,0.0008233133,0.004664516,0.01279787,0.6152167],"genre_scores_gemma":[0.02264507,0.07700518,0.007484653,0.07365347,0.02179823,0.0005864186,0.003421938,0.002784625,0.7906203],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6351956,"threshold_uncertainty_score":0.9060295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0389441042793308,"score_gpt":0.2390636930401834,"score_spread":0.2001195887608526,"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."}}