{"id":"W6989488421","doi":"","title":"AVG.Helpline +1-888-879-.0163 AVG T.e.c.h.n.i.c.a.l S.u.p.p.o.r.t t.e.l,eP.h.o.n.e n.u.m.b.e.r AVG p.h.o.n.e N.u.m.b.e.r.pdf","year":2016,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phone; Smart phone; Service (business); Phone call","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["insufficient_payload"],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":["insufficient_payload"],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003540919,0.001036092,0.0007303443,0.001095188,0.001527225,0.003242187,0.001185122,0.00124975,0.958795],"category_scores_gemma":[0.002422561,0.0004930771,0.000510408,0.001015817,0.0002576721,0.002354003,0.001774827,0.001138804,0.9516437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000726203,"about_ca_system_score_gemma":0.000749685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003551416,"about_ca_topic_score_gemma":0.006755534,"domain_scores_codex":[0.9996718,0.00002931395,0.00001286893,0.00006601605,0.0001600143,0.00005997844],"domain_scores_gemma":[0.9981599,0.0001960354,0.00005981376,0.0001509355,0.0007211088,0.0007121532],"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":[0.00001138438,0.00002426536,0.00006786329,0.00002548086,4.931009e-7,0.00001375284,0.00001253996,0.00001222139,0.0001028172,0.000186945,0.9789096,0.0206326],"study_design_scores_gemma":[0.000009296501,0.00002104189,0.0003971638,0.00003538638,0.000001714195,0.0000474661,0.00006413833,0.00005476675,0.0001200813,0.00012658,0.9991176,0.000004663967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003997913,0.0001856618,0.0008000524,0.0007228957,0.0008524026,0.0001251063,0.003179584,0.007522749,0.9862118],"genre_scores_gemma":[0.0007741694,0.0001201525,0.0002591053,0.0002484749,0.00008305565,0.0000331443,0.001160554,0.0009631946,0.9963582],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04120505,"threshold_uncertainty_score":0.05877393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01314597114127582,"score_gpt":0.2682677324212884,"score_spread":0.2551217612800126,"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."}}