{"id":"W2037173571","doi":"10.1108/jmtm-09-2013-0136","title":"Technical-economic cost modeling as a technology management tool","year":2014,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Technology Assessment and Management","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Production (economics); Unit cost; Key (lock); Manufacturing engineering; Cost reduction; Risk analysis (engineering); Computer science; Cost driver; Operations management; Engineering; Systems engineering; Operations research; Business; Mechanical engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007846769,0.0005336876,0.0007131312,0.003984516,0.0001682913,0.00007339125,0.001779674,0.0005534111,0.0000989462],"category_scores_gemma":[0.000020397,0.0005365377,0.0002163907,0.0004678148,0.000190121,0.0002927704,0.0009338976,0.001013024,0.0002472321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006276091,"about_ca_system_score_gemma":0.00001151058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001520419,"about_ca_topic_score_gemma":0.000005193848,"domain_scores_codex":[0.9971102,0.00002637821,0.001179783,0.0004883969,0.0003635492,0.0008317037],"domain_scores_gemma":[0.9983491,0.00003239447,0.0003474981,0.001135713,0.0000460871,0.00008917411],"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":[0.00006540496,0.0002059873,0.0002086713,0.0004974817,0.001471177,0.0005990045,0.00001939845,0.190998,0.0004428032,0.2940373,0.008166363,0.5032884],"study_design_scores_gemma":[0.006175207,0.001111112,0.000764816,0.001138963,0.001438318,0.001092399,0.001705374,0.06939309,0.05269923,0.3345499,0.5273195,0.002612108],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3532772,0.0006041585,0.5823644,0.005924225,0.002148973,0.001623749,0.000003349912,0.004580753,0.04947316],"genre_scores_gemma":[0.950861,0.001397774,0.04682333,0.0001128203,0.0000955185,0.000165258,0.000002345877,0.00009388616,0.0004480987],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5975838,"threshold_uncertainty_score":0.9997086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006046996312021274,"score_gpt":0.2215505327938939,"score_spread":0.2155035364818726,"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."}}