{"id":"W4205602730","doi":"10.1007/s11334-021-00426-2","title":"Domain engineering for customer experience management","year":2022,"lang":"en","type":"article","venue":"Innovations in Systems and Software Engineering","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Vendor; Domain (mathematical analysis); Exploit; Context (archaeology); Customer relationship management; Software engineering; Knowledge management; Business; Marketing; Computer security; Database","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":[],"consensus_categories":[],"category_scores_codex":[0.00126841,0.0001134334,0.000161571,0.0009250551,0.0001925937,0.0001916732,0.0002956978,0.00002304442,0.00004183234],"category_scores_gemma":[0.0001392454,0.0001135172,0.00003246675,0.00153535,0.00000911843,0.0003714694,0.0001883962,0.0001098923,0.000005883082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009531008,"about_ca_system_score_gemma":0.000009717288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009149089,"about_ca_topic_score_gemma":7.745346e-7,"domain_scores_codex":[0.9984463,0.00001269713,0.0005808368,0.0002241108,0.0005286165,0.0002074495],"domain_scores_gemma":[0.9993689,0.0002067567,0.00008830816,0.000221664,0.00008257094,0.00003177722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001392022,0.00005179078,0.03334857,0.0001398217,0.00003254793,0.00001896134,0.004842569,0.5590231,0.000191842,0.3900369,0.004851435,0.007448467],"study_design_scores_gemma":[0.0006168587,0.00002441276,0.03315735,0.00003134041,0.000005364659,0.00001470791,0.006566468,0.0529043,0.000007086178,0.0001239469,0.9062133,0.0003347925],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5968166,0.0001228404,0.4010232,0.00008551967,0.001023993,0.0005836263,0.00003617951,0.0001214034,0.000186613],"genre_scores_gemma":[0.9759101,0.000002670446,0.02198675,0.00006956638,0.00004279039,0.001073065,0.00001590581,0.00001509036,0.0008840407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9013619,"threshold_uncertainty_score":0.4629096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1083756431345969,"score_gpt":0.3607661676049763,"score_spread":0.2523905244703795,"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."}}