{"id":"W2121564179","doi":"10.1109/iemce.2008.4617954","title":"New product evaluation in telecommunications","year":2008,"lang":"en","type":"article","venue":"","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Key (lock); Computer science; Telecommunications; Product (mathematics); Competition (biology); Telecommunications service; Economic indicator; Risk analysis (engineering); Selection (genetic algorithm); Business; Computer security; Economics","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":[0.009261746,0.0007022591,0.0006033487,0.003803495,0.0007773371,0.003473725,0.0005047912,0.0007322881,0.005451818],"category_scores_gemma":[0.01300177,0.0001917442,0.0004420617,0.003164629,0.0008781048,0.002264111,0.001027991,0.0004126972,0.0006676751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002968536,"about_ca_system_score_gemma":0.001800161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002267996,"about_ca_topic_score_gemma":0.003816946,"domain_scores_codex":[0.9881111,0.004196955,0.0004177295,0.0003672004,0.006638116,0.0002688934],"domain_scores_gemma":[0.9923204,0.002966803,0.000738323,0.000378772,0.003411514,0.000184303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004379166,0.0002352044,0.01341349,0.001481418,0.00008863652,0.0005255472,0.0006270814,0.04333706,0.01523361,0.05325528,0.006251722,0.865113],"study_design_scores_gemma":[0.0001792881,0.0065318,0.09095644,0.003085888,0.0004149697,0.002488173,0.004702064,0.322877,0.1455627,0.119182,0.303678,0.0003416464],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3684286,0.0325259,0.2704501,0.002167617,0.0004922179,0.002277301,0.0009664642,0.0004414126,0.3222504],"genre_scores_gemma":[0.8592299,0.008264554,0.1068881,0.0001706838,0.00009105843,0.0004340494,0.0005608613,0.00008135822,0.02427938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009261746,"threshold_uncertainty_score":0.04898137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04304771406179399,"score_gpt":0.2459873565099807,"score_spread":0.2029396424481867,"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."}}