{"id":"W7053249358","doi":"","title":"Toll free @ 1877 778 8714 Quickbooks phone number Quickbooks support phone number,","year":2016,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Particle Accelerators and Free-Electron Lasers","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phone; Service (business); Telephone line; Telephone number; Toll; Customer service; Mobile phone","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":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001568124,0.001292266,0.001384828,0.0002866084,0.0001680539,0.0002106895,0.002611479,0.00119795,0.8706267],"category_scores_gemma":[0.0003638916,0.001356881,0.000551837,0.0002563323,0.0003677802,0.0002996357,0.001407744,0.001203719,0.9445997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006631087,"about_ca_system_score_gemma":0.0002826217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009616579,"about_ca_topic_score_gemma":0.0008590442,"domain_scores_codex":[0.9931309,0.0003029097,0.00120315,0.002747432,0.0008781026,0.001737551],"domain_scores_gemma":[0.9913776,0.0002264444,0.0004349466,0.007063291,0.0001128622,0.0007848499],"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":[0.00008252013,0.0002126624,0.004231018,0.0002577669,0.0007599964,0.0001212101,0.0002912863,0.00008503092,0.007476211,0.0006961802,0.9768785,0.008907603],"study_design_scores_gemma":[0.00218097,0.00000164101,0.0004213993,0.0002647585,0.000176481,0.0001090308,0.00003333731,0.0001871893,0.02619537,0.00132434,0.9674706,0.001634881],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006215552,0.0000126846,0.002064579,0.00009000186,0.001614119,0.001225561,0.0002945338,0.001977597,0.9865054],"genre_scores_gemma":[0.03644461,0.0005917029,0.001026642,0.0001917291,0.000846784,0.0005387912,0.00007251216,0.001339208,0.958948],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0739731,"threshold_uncertainty_score":0.9999829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009916303690614303,"score_gpt":0.2374654033811105,"score_spread":0.2275490996904962,"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."}}