{"id":"W2890774324","doi":"10.1080/00207543.2018.1521019","title":"Identification of the to-be-improved product features based on online reviews for product redesign","year":2018,"lang":"en","type":"article","venue":"International Journal of Production Research","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Identification (biology); Computer science; Product (mathematics); Process (computing); Feature (linguistics); New product development; Data mining; Similarity (geometry); Data science; Artificial intelligence; Marketing; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001559377,0.000720125,0.0005758096,0.004870957,0.0003628752,0.001239115,0.0004598314,0.0003963518,0.001328861],"category_scores_gemma":[0.009450786,0.0001619172,0.000624461,0.002739963,0.0001889049,0.001668734,0.0004540261,0.0003573004,0.0006343772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006364096,"about_ca_system_score_gemma":0.0008627171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00270156,"about_ca_topic_score_gemma":0.006321007,"domain_scores_codex":[0.9971671,0.0007653973,0.0002681665,0.0003513199,0.001306323,0.000141726],"domain_scores_gemma":[0.9904652,0.002444909,0.002047044,0.0004617096,0.004388866,0.0001922984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007120348,0.0006275785,0.1012106,0.001584194,0.00023381,0.0007963482,0.001587368,0.007431463,0.03689398,0.003175544,0.005894489,0.8398527],"study_design_scores_gemma":[0.00009174989,0.002571213,0.4755113,0.0004567887,0.0008917729,0.001942783,0.006038409,0.4095253,0.06606139,0.006065105,0.03053239,0.0003117312],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7664606,0.001895229,0.2104099,0.0005741068,0.0001129072,0.001512706,0.002023208,0.0007118733,0.01629943],"genre_scores_gemma":[0.8938211,0.0005125379,0.1008385,0.00004923032,0.00006085897,0.0002861717,0.00123556,0.00003165528,0.003164408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004870957,"threshold_uncertainty_score":0.008246899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1126837321151282,"score_gpt":0.3897765457886923,"score_spread":0.2770928136735641,"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."}}