{"id":"W2117677519","doi":"10.5267/j.msl.2013.01.031","title":"Investigating product development strategy in beverage industry using factor analysis","year":2013,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Product (mathematics); Business; Factor (programming language); New product development; Process management; Computer science; Marketing; Operations management; Manufacturing engineering; Industrial organization; Mathematics; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004482189,0.0002168399,0.0002051778,0.001234328,0.0003279047,0.0009481507,0.0006732066,0.0000368083,0.0002728722],"category_scores_gemma":[0.00002239807,0.000207821,0.0000509723,0.005283064,0.0002158804,0.002612805,0.0003959219,0.0002168421,0.000164036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001690944,"about_ca_system_score_gemma":0.00001852721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00107739,"about_ca_topic_score_gemma":0.00005098874,"domain_scores_codex":[0.9977456,0.00001235829,0.0003402525,0.0006384876,0.0006372248,0.0006260542],"domain_scores_gemma":[0.9994608,0.000007881818,0.0001630137,0.0002951493,0.00004145607,0.0000317304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[7.95219e-7,0.00004476411,0.9699882,0.00007789451,0.00006199173,0.00001837715,0.00006297724,0.01768821,0.006635937,0.002001376,0.00007504147,0.003344437],"study_design_scores_gemma":[0.0001690756,0.000001259103,0.9893174,0.00005004562,0.00004105144,2.885317e-7,0.0005013057,0.008376221,0.0003472133,0.0001683219,0.0007292926,0.000298596],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905474,0.000007184866,0.0006289383,0.001363471,0.0001230177,0.0004223294,2.881671e-7,0.00006856955,0.006838797],"genre_scores_gemma":[0.9931111,4.108578e-7,0.001421652,0.005213472,0.0001171798,0.00003865998,0.000005076914,0.00001011999,0.00008231832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01932913,"threshold_uncertainty_score":0.9143039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0381368918176567,"score_gpt":0.2404671383496847,"score_spread":0.202330246532028,"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."}}