{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005473666,0.0001273146,0.000204069,0.0002483564,0.0000545514,0.0001275812,0.0001818784,0.00003884432,0.00009546088],"category_scores_gemma":[0.0002451652,0.0001029835,0.00002626312,0.0001507632,0.00002584433,0.001533373,0.00006564587,0.00003066498,0.00009035462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001239238,"about_ca_system_score_gemma":0.0001112677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007183013,"about_ca_topic_score_gemma":0.000004215424,"domain_scores_codex":[0.9990096,4.504435e-7,0.0004523494,0.0002410778,0.0000711238,0.0002253898],"domain_scores_gemma":[0.9993885,0.00003916611,0.0002863885,0.00004054532,0.0002362736,0.000009128898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004669145,0.000217893,0.0481912,0.00155896,0.0001431643,3.47012e-7,0.002936132,0.00002353496,0.08312804,0.1596123,0.01784175,0.6858797],"study_design_scores_gemma":[0.006418312,0.0000388099,0.08092687,0.001007579,0.00002093399,6.621602e-7,0.001274861,0.0001242014,0.6924456,0.03171099,0.1847481,0.00128309],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856656,0.000009220204,0.002934032,0.001980539,0.0002359744,0.0007377691,3.842055e-7,0.00005439083,0.008382082],"genre_scores_gemma":[0.9833062,0.000004431948,0.01387587,0.0004358326,0.0002589067,0.0001264531,0.000002230627,0.00001833597,0.00197177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6845967,"threshold_uncertainty_score":0.4199545,"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."}}