{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003351439,0.001083808,0.0007174514,0.003049793,0.002120284,0.003072513,0.001963731,0.001170897,0.003290103],"category_scores_gemma":[0.00570838,0.000469528,0.001677892,0.002062074,0.004229155,0.003423859,0.002457261,0.001828926,0.0004499339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003504612,"about_ca_system_score_gemma":0.005441042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009130899,"about_ca_topic_score_gemma":0.007926564,"domain_scores_codex":[0.9967372,0.001336444,0.0002808686,0.0005114411,0.0008901014,0.0002439035],"domain_scores_gemma":[0.9981107,0.001075092,0.0001942173,0.0001533889,0.0003823172,0.00008443359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004999897,0.000127498,0.001711942,0.0005510117,0.00004859622,0.0003083573,0.003422479,0.09471052,0.00199245,0.775977,0.002286685,0.1188135],"study_design_scores_gemma":[0.00008304508,0.0001365585,0.0006953723,0.0003047415,0.00006443879,0.0003784119,0.001647502,0.4920231,0.002775308,0.4629239,0.0388997,0.00006786752],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006704031,0.0002616819,0.979598,0.0005149884,0.00002612588,0.0002820657,0.00003331248,0.0001368906,0.01244296],"genre_scores_gemma":[0.1423423,0.0003912665,0.8527881,0.00009606384,0.00002444994,0.0005885339,0.0001015356,0.00003643009,0.003631365],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009130899,"threshold_uncertainty_score":0.02542794,"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."}}