{"id":"W2891022428","doi":"10.1109/comapp.2018.8460397","title":"Overview of Software Adaptation Techniques; Guide Adaptation Pattern","year":2018,"lang":"en","type":"article","venue":"","topic":"Mobile and Web Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Adaptation (eye); Computer science; Software engineering; Software; Android (operating system); Data science; Software quality; Software development; Human–computer interaction","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":[],"consensus_categories":[],"category_scores_codex":[0.0001525062,0.00006615984,0.00008233087,0.00006169295,0.00005321159,0.00002579499,0.000388638,0.00003874296,0.00007932633],"category_scores_gemma":[0.0000179915,0.00005947546,0.00003509189,0.0002796793,0.00003221419,0.0002695216,0.00008758209,0.00003034218,0.00009905812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001680438,"about_ca_system_score_gemma":0.00005642459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000370364,"about_ca_topic_score_gemma":0.0002021118,"domain_scores_codex":[0.9992791,0.0000235548,0.0002343333,0.0001999195,0.0001644603,0.00009864639],"domain_scores_gemma":[0.9991137,0.00003920301,0.0001039047,0.0004762139,0.0002336967,0.00003325416],"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":[4.725538e-7,0.00002891872,0.0001161402,0.00001230089,0.00000375363,1.838494e-7,0.0004185684,0.00000789264,0.0006435541,0.06572119,0.003761482,0.9292855],"study_design_scores_gemma":[0.0004264827,0.0006011706,0.009115824,0.0001640547,0.00002664653,0.0000156477,0.0002408779,0.3237529,0.1521779,0.03214673,0.4807298,0.000602033],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004014182,0.00004927462,0.9910332,0.000306851,0.00004504456,0.0001985929,0.000002092787,0.0002323994,0.007731154],"genre_scores_gemma":[0.4623284,0.00005506933,0.5362095,0.0007073926,0.00007278772,0.00009371385,0.000007737069,0.00000660113,0.0005188709],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9286835,"threshold_uncertainty_score":0.2425339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05244869794173054,"score_gpt":0.305543925895491,"score_spread":0.2530952279537604,"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."}}