{"id":"W6996001350","doi":"","title":"QB~M@g!c>>1^877<<778>>8714<< QuickBooks enterprise tech support phone number USA","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; Mobile phone; Smart phone; High tech; 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":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000320033,0.001494849,0.001089626,0.001252985,0.00220895,0.002674046,0.001785524,0.001903572,0.9285135],"category_scores_gemma":[0.001304633,0.0007309706,0.0006853983,0.001049049,0.0005380648,0.001954763,0.002019325,0.00149197,0.9323342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001152193,"about_ca_system_score_gemma":0.001502501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00323161,"about_ca_topic_score_gemma":0.007665421,"domain_scores_codex":[0.9995116,0.00002482577,0.00001198813,0.0001209614,0.0002390365,0.0000915211],"domain_scores_gemma":[0.9982248,0.0001758359,0.00003834314,0.0001608767,0.000884216,0.0005158485],"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":[0.00003792936,0.00005278379,0.00009176468,0.00009356119,0.000002114358,0.00005080497,0.00002855772,0.00005380412,0.004984594,0.001143196,0.9546543,0.03880664],"study_design_scores_gemma":[0.00001833451,0.00005799215,0.0006770191,0.00004991266,0.000005228784,0.00009977863,0.00007476033,0.0001516364,0.002004198,0.0004593318,0.9963897,0.0000120972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006545923,0.0001468862,0.00133587,0.0008033725,0.00102815,0.0001247765,0.002140361,0.001999505,0.9917665],"genre_scores_gemma":[0.001130602,0.00009364998,0.0004081497,0.0003115213,0.00007861744,0.00006337448,0.0007880162,0.0004998633,0.9966263],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07148647,"threshold_uncertainty_score":0.1019667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02410686996349856,"score_gpt":0.2930411105972575,"score_spread":0.2689342406337589,"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."}}