{"id":"W7054856167","doi":"","title":"Avast antivirus TeChnical SuPpORt!!!@@1800-898-3057#@!! PhOnE NuMbEr Avast CuStOmEr sErViCe","year":2016,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phone; Service (business); Telephone number; Phone call; Phishing","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":[0.001284918,0.0009359069,0.0009420119,0.0003146294,0.0001318501,0.0001471045,0.001882367,0.001083423,0.8960072],"category_scores_gemma":[0.0001681207,0.0009383006,0.0003465213,0.0004796026,0.0002155145,0.00020976,0.001076238,0.001009273,0.989271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003469834,"about_ca_system_score_gemma":0.0001687994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002921562,"about_ca_topic_score_gemma":0.0003003547,"domain_scores_codex":[0.9950199,0.0002142328,0.0008618796,0.002326789,0.000623213,0.0009540437],"domain_scores_gemma":[0.9935196,0.0002771667,0.0003047716,0.005301873,0.0001246163,0.0004719897],"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":[0.00002283887,0.0002302723,0.0004852871,0.0003342059,0.0003281299,0.00003584555,0.0001245346,0.00008991925,0.01442221,0.0005454213,0.9775226,0.005858709],"study_design_scores_gemma":[0.0006748039,2.897656e-7,0.0003383807,0.0003041185,0.0001427153,0.00009168248,0.00001399877,0.000118561,0.006439736,0.0003316845,0.9904656,0.001078421],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001642107,0.000004151716,0.006403669,0.0002021358,0.0006742267,0.001309619,0.0004107741,0.002346942,0.9884843],"genre_scores_gemma":[0.008697023,0.0004447435,0.001635512,0.0002233289,0.0005504385,0.0008774487,0.0001595866,0.001080812,0.9863311],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09326378,"threshold_uncertainty_score":0.9993067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01141017166552724,"score_gpt":0.2450961854962266,"score_spread":0.2336860138306993,"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."}}