{"id":"W7039041205","doi":"","title":"mahakaal @@C@ll +++++18009190992++++Quickbooks support PHONE number","year":2016,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Leech Biology and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Payroll; Phone; Desk; Ticket; Chatbot; Customer service; Service (business); 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","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001673019,0.0007543455,0.001117623,0.0002707258,0.0001551589,0.00004119442,0.001049594,0.001496113,0.9671406],"category_scores_gemma":[0.0006354091,0.0006627726,0.0004784323,0.0001717099,0.0005987007,0.0000750496,0.001148388,0.001056003,0.9872051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002825525,"about_ca_system_score_gemma":0.0005434187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002499073,"about_ca_topic_score_gemma":0.00007924925,"domain_scores_codex":[0.9945334,0.0003141276,0.0008002308,0.003011085,0.0004988067,0.000842346],"domain_scores_gemma":[0.9926694,0.0002609833,0.0005573871,0.005801647,0.0001502324,0.0005603498],"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":[0.0001790596,0.0004828401,0.0100132,0.0002205602,0.0006440778,0.0001154915,0.000142292,2.687499e-7,0.004768006,0.002150939,0.968974,0.01230926],"study_design_scores_gemma":[0.001652826,0.000002024852,0.002550306,0.0003484274,0.0003444262,0.0003928882,0.00002362875,0.000003026438,0.005065975,0.001599215,0.9873587,0.0006585724],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000477387,0.000003411394,0.001107622,0.001204745,0.0005787329,0.001915814,0.0002156753,0.0007305854,0.993766],"genre_scores_gemma":[0.004009885,0.0003705616,0.001826145,0.001096611,0.0009398288,0.0006916927,0.0003254412,0.0005678695,0.990172],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02006447,"threshold_uncertainty_score":0.9998001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01380314371508257,"score_gpt":0.2895728825500354,"score_spread":0.2757697388349528,"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."}}