{"id":"W190663285","doi":"10.22215/timreview/546","title":"User Frustrations as Opportunities","year":2012,"lang":"en","type":"article","venue":"Technology Innovation Management Review","topic":"Digital Innovation in Industries","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Product (mathematics); User needs; Internet privacy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.005976099,0.0004795307,0.0004470162,0.001171632,0.004679743,0.00695752,0.0008111924,0.00252181,0.0199527],"category_scores_gemma":[0.04130604,0.0002708598,0.000521298,0.001141723,0.003809455,0.005993056,0.005377134,0.002845237,0.002796438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003646448,"about_ca_system_score_gemma":0.001655995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003072742,"about_ca_topic_score_gemma":0.003160069,"domain_scores_codex":[0.9816853,0.01107955,0.0005922866,0.000676379,0.004050309,0.001916247],"domain_scores_gemma":[0.9534324,0.02652218,0.007572952,0.001873958,0.006609777,0.003988733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003697681,0.0001844622,0.05225706,0.001108071,0.0001111194,0.004756349,0.3062644,0.0004935395,0.0008543173,0.1032358,0.3028648,0.2275002],"study_design_scores_gemma":[0.0000375637,0.0002174581,0.02351772,0.001128002,0.00007289431,0.008082679,0.2167098,0.0008866492,0.0005197587,0.02460991,0.7240525,0.0001650486],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3671136,0.0213918,0.01121335,0.1448838,0.003076772,0.0002165131,0.001031579,0.0009628662,0.4501098],"genre_scores_gemma":[0.9625584,0.003238309,0.0009175313,0.01283934,0.0004520686,0.00008766683,0.0001328615,0.0001335289,0.01964026],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0199527,"threshold_uncertainty_score":0.06674838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09943825364337791,"score_gpt":0.30522916068597,"score_spread":0.2057909070425921,"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."}}