{"id":"W7044079801","doi":"","title":"UsA/canada NORTON Tech Support Number @@!18559905999 !!NORTON Support Number for @**NORTON","year":2016,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Government (linguistics); Key (lock); Information system; 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":[0.0008472517,0.001142778,0.00110049,0.002410855,0.005585988,0.00531433,0.001930558,0.001656209,0.7449684],"category_scores_gemma":[0.003815985,0.0006727743,0.0005829945,0.002409641,0.001214776,0.002262383,0.001465676,0.001666747,0.5658322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0130468,"about_ca_system_score_gemma":0.03172248,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7518272,"about_ca_topic_score_gemma":0.8572772,"domain_scores_codex":[0.9986952,0.00003856596,0.00002322309,0.0001905582,0.0008327833,0.0002197136],"domain_scores_gemma":[0.9927503,0.0003437093,0.0001373226,0.0004948918,0.00504638,0.001227492],"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":[0.00003651659,0.00002407287,0.0002880092,0.00005012081,0.000004577877,0.00003720487,0.00004874429,0.00009160348,0.0003182382,0.008078901,0.965579,0.02544302],"study_design_scores_gemma":[0.00001173466,0.000006178072,0.0006803688,0.00004839142,0.000007287314,0.00002348874,0.00008140483,0.0003032655,0.0005932004,0.00108963,0.99714,0.00001498417],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001231154,0.0003454802,0.001394486,0.00360063,0.0009640906,0.00007836046,0.02381323,0.003187813,0.9653848],"genre_scores_gemma":[0.002329203,0.0001542916,0.0006900987,0.0001994272,0.00003906354,0.00001191557,0.003175381,0.0008123866,0.9925882],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7518272,"threshold_uncertainty_score":0.4992687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01312380591337948,"score_gpt":0.2755167999625439,"score_spread":0.2623929940491644,"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."}}