{"id":"W1972330479","doi":"10.5539/ass.v10n13p108","title":"Interpretation of TRIZ Principles in a Service Related Context","year":2014,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TRIZ; Context (archaeology); Service (business); Usability; Interpretation (philosophy); Computer science; Process (computing); Contradiction; Management science; Knowledge management; Process management; Engineering; Artificial intelligence; Human–computer interaction; Epistemology; Marketing; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01943036,0.001688181,0.0009369802,0.01068082,0.004377782,0.009151937,0.002185092,0.002992503,0.004170096],"category_scores_gemma":[0.01921393,0.0007047421,0.00117566,0.00649731,0.02758764,0.01428752,0.006795095,0.004787007,0.0008114981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007667554,"about_ca_system_score_gemma":0.008796151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002447232,"about_ca_topic_score_gemma":0.002243998,"domain_scores_codex":[0.9723948,0.01775807,0.002034009,0.001509851,0.005358297,0.0009448968],"domain_scores_gemma":[0.9790357,0.01271246,0.002009596,0.001913588,0.003922899,0.0004057063],"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":[0.00003071356,0.00005428552,0.0008711551,0.0004022416,0.00001559159,0.00092422,0.08918459,0.0009028114,0.0009521929,0.8772609,0.002089627,0.0273117],"study_design_scores_gemma":[0.00004029984,0.00009642173,0.001623878,0.001010619,0.00003014395,0.001457085,0.09910811,0.006528783,0.001919499,0.7433925,0.1447172,0.00007544375],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09504054,0.003027907,0.6304228,0.02046067,0.0006233975,0.001308321,0.0003508096,0.000506505,0.2482591],"genre_scores_gemma":[0.7190201,0.002469179,0.2612596,0.002193465,0.0001247006,0.001581691,0.0003352897,0.0002218119,0.01279416],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01943036,"threshold_uncertainty_score":0.1027588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456683838198268,"score_gpt":0.2726259774556862,"score_spread":0.2580591390737035,"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."}}