{"id":"W4312117652","doi":"10.1111/isj.12420","title":"Managing artificial intelligence projects: Key insights from an AI consulting firm","year":2022,"lang":"en","type":"article","venue":"Information Systems Journal","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Workflow; Leverage (statistics); Agile software development; Knowledge management; Key (lock); Applications of artificial intelligence; Project management; Computer science; Process management; Engineering; Business; Artificial intelligence; Systems engineering; Software engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01630083,0.0004167127,0.0004806352,0.004196818,0.02671655,0.01970398,0.003597807,0.006519231,0.003256419],"category_scores_gemma":[0.03682898,0.0005947936,0.0002369281,0.005400296,0.01023773,0.009757482,0.00866648,0.006645908,0.0007168849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01614483,"about_ca_system_score_gemma":0.02095595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03078657,"about_ca_topic_score_gemma":0.06166951,"domain_scores_codex":[0.9763206,0.01422704,0.0005187063,0.0009849851,0.003753954,0.004194731],"domain_scores_gemma":[0.9302825,0.04155558,0.006476358,0.001514753,0.006301206,0.01386954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001832732,0.002328551,0.05172009,0.0002851413,0.0000378914,0.01308735,0.7465151,0.001943476,0.002100035,0.09045092,0.02646274,0.0648855],"study_design_scores_gemma":[0.00002020033,0.0001477441,0.009602304,0.0002362539,0.0000126716,0.0009331699,0.9311365,0.004135319,0.0005385539,0.01045846,0.04271267,0.00006611964],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9006513,0.0006568472,0.006702992,0.04078121,0.00007689952,0.0001723972,0.00008046805,0.00008248539,0.0507954],"genre_scores_gemma":[0.9907557,0.0005125666,0.002729051,0.00190384,0.00003794256,0.0000597569,0.00005252728,0.00002591214,0.003922707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03078657,"threshold_uncertainty_score":0.1171395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07402448115385798,"score_gpt":0.2926091866360824,"score_spread":0.2185847054822244,"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."}}