{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021493,0.0006010532,0.0004645169,0.001501877,0.0008489774,0.002791028,0.0009806644,0.0009811583,0.0071828],"category_scores_gemma":[0.007270438,0.0003406391,0.0006956384,0.001049607,0.001200895,0.003661328,0.001730969,0.002150215,0.002066506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009398893,"about_ca_system_score_gemma":0.001361222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001692555,"about_ca_topic_score_gemma":0.00109387,"domain_scores_codex":[0.9982515,0.0008822767,0.00009756914,0.0002496906,0.0003622873,0.00015665],"domain_scores_gemma":[0.9965043,0.00166855,0.0002180442,0.0007651054,0.0006832391,0.0001606813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004570717,0.0001806086,0.001519145,0.0002612135,0.00004629643,0.0001172958,0.000393448,0.01578089,0.002607216,0.7034271,0.008522389,0.2670985],"study_design_scores_gemma":[0.00001573654,0.00006314863,0.001390179,0.0002818819,0.00004898842,0.0002937448,0.000613847,0.1482458,0.004101232,0.7595968,0.08530963,0.00003909703],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01403995,0.002789446,0.9440979,0.002525853,0.0002751352,0.0001146073,0.0001388617,0.0005631154,0.03545518],"genre_scores_gemma":[0.4535047,0.003442988,0.5177251,0.001033008,0.0005130199,0.0002856714,0.0005026349,0.0003151351,0.02267787],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0071828,"threshold_uncertainty_score":0.0240289,"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."}}