{"id":"W4320489576","doi":"10.2478/czoto-2022-00011","title":"Statistical Analysis and Prediction of the Product Complaints","year":2022,"lang":"en","type":"article","venue":"System Safety Human - Technical Facility - Environment","topic":"Quality and Management Systems","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Complaint; Product (mathematics); Statistical analysis; Quality (philosophy); Point (geometry); Operations management; Quarter (Canadian coin); Actuarial science; Business; Computer science; Risk analysis (engineering); Marketing; Engineering; Statistics; Mathematics; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.01311409,0.0005307675,0.000679805,0.007973619,0.0003206909,0.001186882,0.0007053995,0.0004349897,0.003175726],"category_scores_gemma":[0.05429398,0.0001874548,0.001621277,0.005063923,0.0008121278,0.0009552298,0.0006190827,0.001027642,0.0007394563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006534529,"about_ca_system_score_gemma":0.0009068227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002597128,"about_ca_topic_score_gemma":0.001053,"domain_scores_codex":[0.9850811,0.007366062,0.001142132,0.001303035,0.004513222,0.0005944601],"domain_scores_gemma":[0.8684425,0.1061935,0.01090301,0.004044126,0.009588929,0.0008279274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001153634,0.000276789,0.902949,0.0001490826,0.0005889671,0.0002812086,0.000508599,0.01781463,0.001148077,0.00119489,0.001839996,0.07209513],"study_design_scores_gemma":[0.00002532525,0.001911363,0.8289954,0.00005295601,0.000196034,0.0003798446,0.001197628,0.160091,0.002552025,0.001877548,0.002654958,0.00006576167],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9422371,0.0003492578,0.04948749,0.0002106363,0.0001033626,0.0002759713,0.003559811,0.0006425899,0.003133865],"genre_scores_gemma":[0.992678,0.00004336035,0.0053928,0.00001072886,0.0000301156,0.000133227,0.001166239,0.00003062062,0.0005148472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01311409,"threshold_uncertainty_score":0.06935477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01834686671529735,"score_gpt":0.2097813576034865,"score_spread":0.1914344908881891,"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."}}