{"id":"W2803022259","doi":"","title":"Implementation Cost and Efficiency for AI Experience Managers.","year":2013,"lang":"en","type":"article","venue":"","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina; University of Alberta","funders":"","keywords":"Field (mathematics); Computer science; Scale (ratio); Knowledge management; Artificial intelligence; Engineering management; Data science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01331985,0.0004735994,0.0004041092,0.001136602,0.0007898825,0.003728647,0.0009862173,0.001555832,0.011784],"category_scores_gemma":[0.09311577,0.0003698581,0.0006039217,0.001254992,0.001384935,0.004226473,0.001581667,0.001274652,0.001417276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00323473,"about_ca_system_score_gemma":0.003945913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003084714,"about_ca_topic_score_gemma":0.003218823,"domain_scores_codex":[0.9834551,0.01023425,0.0008061972,0.000833849,0.003070437,0.001600231],"domain_scores_gemma":[0.8930275,0.07704853,0.009254123,0.009807697,0.007201673,0.003660366],"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":[0.002576464,0.001519815,0.09911014,0.001083202,0.0003174388,0.000393904,0.002377977,0.06974624,0.006974681,0.1318599,0.01268815,0.6713521],"study_design_scores_gemma":[0.0009014802,0.006463084,0.197783,0.0008928753,0.001061626,0.002680902,0.01283105,0.5166781,0.01604464,0.1748438,0.06954741,0.00027212],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7356315,0.002611789,0.1443614,0.01171894,0.0002282818,0.001388443,0.0006801548,0.0007530501,0.1026265],"genre_scores_gemma":[0.9346729,0.000390237,0.05782742,0.000334391,0.00004461471,0.0003403138,0.0002172785,0.00009559294,0.006077223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01331985,"threshold_uncertainty_score":0.07044291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05851888678021185,"score_gpt":0.3390640930952136,"score_spread":0.2805452063150018,"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."}}