{"id":"W4224233518","doi":"10.3390/app12094157","title":"Problem-Solving in Product Innovation Based on the Cynefin Framework-Aided TRIZ","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Design Education and Practice","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"National Natural Science Foundation of China","keywords":"TRIZ; Product (mathematics); Simple (philosophy); Computer science; Chaotic; Key (lock); Bridge (graph theory); Product innovation; Process (computing); Management science; Industrial engineering; Systems engineering; Engineering; Knowledge management; Artificial intelligence; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002072326,0.00006892065,0.00005811141,0.0002083818,0.0003150681,0.00008029015,0.0002746768,0.00001460236,0.000396626],"category_scores_gemma":[0.0001985017,0.00005301361,0.000008485243,0.002688043,0.00004787749,0.00009551807,0.00002012746,0.0003134197,0.00002660971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000573508,"about_ca_system_score_gemma":0.00009187235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008761081,"about_ca_topic_score_gemma":0.000002865278,"domain_scores_codex":[0.999144,0.00005887223,0.0001589417,0.0001744406,0.0003035995,0.0001601016],"domain_scores_gemma":[0.9992461,0.0005259747,0.00004580826,0.0001567636,0.00001352277,0.00001183746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002235648,0.0001273461,0.0004972016,0.00002111324,0.000004345784,9.064851e-7,0.003207072,0.5003647,0.01945764,0.4434263,0.00821916,0.02465196],"study_design_scores_gemma":[0.001212902,0.0003793384,0.01514329,0.0001163735,0.00002452787,0.00001079646,0.01939503,0.4620863,0.0509228,0.1513741,0.2977018,0.001632633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5675033,0.000124988,0.01056377,0.02363191,0.001345381,0.001620232,0.000004378358,0.0004133048,0.3947927],"genre_scores_gemma":[0.99467,0.000001601881,0.00365247,0.001330455,0.00003835394,0.0002309452,0.000002174025,0.000007081767,0.00006689323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4271667,"threshold_uncertainty_score":0.4342777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.038215367872692,"score_gpt":0.2690212289315884,"score_spread":0.2308058610588964,"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."}}