{"id":"W1894453523","doi":"10.1111/caim.12013","title":"Extracting Value from Learning Curves: Integrating Theory and Practice","year":2013,"lang":"en","type":"article","venue":"Creativity and Innovation Management","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Learning curve; Simplicity; Exploit; Computer science; Simple (philosophy); Value (mathematics); Industrial engineering; Data science; Management science; Econometrics; Economics; Machine learning; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001837703,0.000158896,0.0001448801,0.000337916,0.000361272,0.0005317627,0.00007216302,0.00004099476,0.0002497695],"category_scores_gemma":[0.001839345,0.0001484265,0.0000115509,0.0009387032,0.00005022463,0.003915929,0.0001950419,0.0001700309,0.00006569231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002124528,"about_ca_system_score_gemma":0.00000601545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001969092,"about_ca_topic_score_gemma":0.000002465961,"domain_scores_codex":[0.9989491,0.0000772662,0.0002983625,0.0003242799,0.0001902477,0.0001607543],"domain_scores_gemma":[0.9989657,0.0003050285,0.0003463499,0.000113329,0.0002619397,0.000007641273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004114288,0.00005512419,0.0131831,0.0003477243,0.00008350862,0.000002433171,0.0002735054,0.00001836493,0.0007402294,0.7855149,0.003133348,0.1966066],"study_design_scores_gemma":[0.002397642,0.00004576716,0.2864803,0.002098967,0.000572528,0.00000905044,0.03295557,0.01616424,0.0004139777,0.2086541,0.4485441,0.001663745],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5316368,0.0008330147,0.08068539,0.008696355,0.0003033749,0.00126984,9.235269e-7,0.0003773311,0.376197],"genre_scores_gemma":[0.9863609,0.0003392784,0.004327107,0.006203574,0.0003274153,0.00007635652,0.0001364077,0.00002149737,0.002207428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5768608,"threshold_uncertainty_score":0.6052658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01901608980156073,"score_gpt":0.2510742777594714,"score_spread":0.2320581879579107,"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."}}