{"id":"W4400062770","doi":"10.1109/emr.2024.3419268","title":"Why AI Projects Fail: Lessons From New Product Development","year":2024,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"New product development; Product (mathematics); Business; Computer science; Engineering management; Engineering; Process management; Risk analysis (engineering); Systems engineering; Marketing; Mathematics","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003547911,0.0004092889,0.0003773751,0.0003399806,0.00007972133,0.0006850108,0.0006146257,0.00004453395,0.0006356569],"category_scores_gemma":[0.0000468679,0.0003548435,0.0001132632,0.001318462,0.00001530015,0.001391101,0.00027667,0.0002365438,0.00216396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006787154,"about_ca_system_score_gemma":0.00004105905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003406166,"about_ca_topic_score_gemma":0.00003440684,"domain_scores_codex":[0.9979005,0.00000528188,0.0004802731,0.0007426594,0.0004305587,0.0004406655],"domain_scores_gemma":[0.9992217,0.00002153303,0.00007592097,0.0005877057,0.00006332603,0.00002980706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002541998,0.00003231165,0.00003086358,0.02405861,0.0002009688,0.00009044768,0.00002900091,0.0003387079,0.00007238115,0.009609877,0.6588604,0.3066738],"study_design_scores_gemma":[0.00006516041,0.000001639275,0.000204144,0.0117752,0.0002281849,0.000002286539,0.000005718497,0.002074069,0.0001740357,0.00017547,0.9848368,0.0004572599],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001330448,0.477316,0.4280827,0.05123585,0.01551427,0.005564171,0.00002189662,0.005161828,0.01577285],"genre_scores_gemma":[0.261117,0.3475561,0.08390977,0.1805559,0.0527324,0.004450343,0.004016778,0.002234732,0.06342691],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3441729,"threshold_uncertainty_score":0.9998903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07098033649776332,"score_gpt":0.295713073462488,"score_spread":0.2247327369647247,"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."}}