{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001922656,0.0001950387,0.000445219,0.0001634243,0.0008801059,0.00004606005,0.0004008421,0.00004349396,0.0006341235],"category_scores_gemma":[0.0000374394,0.0001590349,0.0001729837,0.0004391792,0.0002775171,0.0001639534,0.001188197,0.0002401299,0.00003649922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000309777,"about_ca_system_score_gemma":0.000005868682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007209532,"about_ca_topic_score_gemma":0.00006522342,"domain_scores_codex":[0.9972889,0.0002020788,0.0008334243,0.0005662041,0.0008662273,0.0002431562],"domain_scores_gemma":[0.9987091,0.00005056879,0.0003680285,0.0008354147,0.00001606495,0.0000207579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002914476,0.001500562,0.5427508,0.004495858,0.001433338,0.00001497251,0.0002073844,0.009525214,0.004918827,0.426693,0.005246307,0.002922353],"study_design_scores_gemma":[0.0005089113,0.00003782291,0.9194866,0.00002561113,0.0007585698,0.000004119289,0.0006333248,0.001474762,0.00001683126,0.0005176747,0.07630878,0.0002269447],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8811536,0.0001711149,0.08728816,0.002506643,0.0009438261,0.007089769,0.003768157,0.000827487,0.01625129],"genre_scores_gemma":[0.9991381,0.000001791455,0.00005179938,0.00008519336,0.00007559086,0.0001451126,0.0002587795,0.000008919813,0.0002346669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4261753,"threshold_uncertainty_score":0.6943207,"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."}}