{"id":"W2513492709","doi":"10.21606/drs.2016.467","title":"Design Tools for Enhanced New Product Development in Low Income Economies","year":2016,"lang":"en","type":"article","venue":"Proceedings of DRS","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Trent University; Nottingham Trent University","keywords":"Government (linguistics); Poverty; Product (mathematics); New product development; Order (exchange); Product design; Business; Stove; Marketing; Industrial organization; Engineering; Economics; Economic growth; Finance","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.009055751,0.001185767,0.0004087579,0.003286436,0.0009154532,0.00415547,0.001529776,0.001119197,0.007876002],"category_scores_gemma":[0.01733789,0.0007434793,0.0007201912,0.001292593,0.001270606,0.004866438,0.003343447,0.001181537,0.001947485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001076267,"about_ca_system_score_gemma":0.001856926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004269065,"about_ca_topic_score_gemma":0.0009283583,"domain_scores_codex":[0.9954857,0.00265548,0.0004212959,0.0002303853,0.001000323,0.0002067856],"domain_scores_gemma":[0.9877625,0.008699856,0.0009238189,0.001184998,0.001106418,0.0003225137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002948362,0.001317709,0.006460351,0.003077695,0.00007517044,0.002575098,0.04477559,0.02014399,0.02405194,0.1234133,0.02115441,0.75266],"study_design_scores_gemma":[0.0003003324,0.0009481552,0.005859783,0.003150474,0.0001237486,0.002713626,0.01922046,0.06427943,0.02304637,0.1240162,0.7561347,0.0002066679],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05811676,0.0006999617,0.8820657,0.001979755,0.000121372,0.001509874,0.0003059461,0.005489169,0.04971141],"genre_scores_gemma":[0.08839694,0.0005123203,0.9027836,0.0001617956,0.00001409481,0.0009048603,0.0002604795,0.0003481709,0.006617833],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009055751,"threshold_uncertainty_score":0.04789197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02982585527114006,"score_gpt":0.2247327162503653,"score_spread":0.1949068609792252,"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."}}