{"id":"W1987913825","doi":"10.1007/s12553-013-0047-6","title":"Intelligible software delivery in smart environments supported by a macro and micro context awareness model","year":2013,"lang":"en","type":"article","venue":"Health and Technology","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke; Université TÉLUQ; Université du Québec à Montréal","funders":"","keywords":"Macro; Computer science; Context awareness; Service delivery framework; Intelligibility (philosophy); Human–computer interaction; Context (archaeology); Context model; Service (business); Knowledge management; Process management; Engineering; Artificial intelligence; Business","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":[0.0001584423,0.0001572538,0.0003159842,0.0003265443,0.0001129512,0.00005775291,0.0002590764,0.0001945053,0.00001062802],"category_scores_gemma":[0.00003626959,0.0001611343,0.00001510292,0.0002766195,0.0001341158,0.0003480408,0.0002904447,0.0002216877,0.00004578095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006901436,"about_ca_system_score_gemma":0.0001498451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00127694,"about_ca_topic_score_gemma":0.0003134134,"domain_scores_codex":[0.9986046,0.00005568757,0.000332195,0.000487969,0.00009511819,0.0004244208],"domain_scores_gemma":[0.9992639,0.00008176107,0.000121424,0.0003187766,0.00003227332,0.0001818927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001074708,0.0001484088,0.1059093,0.0001193041,0.00001647211,0.00001111372,0.0006326185,8.659013e-7,0.003462375,0.0004811032,0.004762911,0.8844447],"study_design_scores_gemma":[0.02401857,0.004877909,0.03345271,0.002057886,0.00004666407,0.003548197,0.008826101,0.4178086,0.1078817,0.1355258,0.2553165,0.006639419],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8311662,0.002809538,0.1602328,0.004942694,0.00007217618,0.000552456,0.00001699874,0.0001894232,0.00001771832],"genre_scores_gemma":[0.9948584,0.0005219635,0.002782238,0.001495344,0.000003728175,0.0001420501,0.00001094307,0.00001047607,0.000174838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8778053,"threshold_uncertainty_score":0.6570867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01823945062289031,"score_gpt":0.2478825251537498,"score_spread":0.2296430745308595,"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."}}