{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0007736176,0.0001959843,0.0002198759,0.0006445987,0.001363224,0.002779812,0.0006373536,0.00005519956,0.0004822584],"category_scores_gemma":[0.0001405707,0.0001790457,0.00005994745,0.0007868555,0.00004191731,0.01287696,0.0003084142,0.0005695584,0.0005193366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001198349,"about_ca_system_score_gemma":0.0000818203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001156905,"about_ca_topic_score_gemma":0.00002829516,"domain_scores_codex":[0.9976409,0.00004868576,0.001072534,0.0001662115,0.0007812869,0.0002903506],"domain_scores_gemma":[0.998181,0.00004341689,0.0009540506,0.0002656833,0.0005247663,0.00003103893],"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":[0.0007527471,0.0005130406,0.008852439,0.00105365,0.0003135167,0.0002073172,0.02038191,0.1675081,0.0006905781,0.3182051,0.02633377,0.4551877],"study_design_scores_gemma":[0.0002402514,0.00003470779,0.0005257963,0.0002297103,0.00005399572,0.0003098033,0.03673879,0.4298529,0.0001178523,0.01220299,0.5190473,0.0006459288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5220003,0.001050995,0.4183683,0.004348549,0.02170565,0.001818936,0.0001416292,0.0008219138,0.02974373],"genre_scores_gemma":[0.995742,0.000009321779,0.0001054375,0.001962411,0.001863937,0.00003748119,0.0002405307,0.00001471033,0.00002414777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4927135,"threshold_uncertainty_score":0.9999369,"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."}}