{"id":"W2395151315","doi":"","title":"Towards a context-aware mobile app management framework","year":2015,"lang":"en","type":"article","venue":"Computer Science and Software Engineering","topic":"Green IT and Sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Scrolling; Mobile apps; Computer science; Context (archaeology); World Wide Web; Vendor; Smartphone app; App store; Recommender system; Mobile device; Multimedia","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":[0.002535146,0.001042201,0.0009948735,0.002120326,0.001515874,0.005265868,0.003688287,0.002334961,0.001252534],"category_scores_gemma":[0.003258496,0.001078663,0.001452976,0.001317463,0.0008215569,0.005164273,0.004444224,0.00315131,0.0009658147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001152698,"about_ca_system_score_gemma":0.002728305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01618942,"about_ca_topic_score_gemma":0.02051949,"domain_scores_codex":[0.998372,0.0002211462,0.0002080859,0.0003676013,0.0006217584,0.0002094982],"domain_scores_gemma":[0.9989127,0.0001793145,0.0001006293,0.0002109095,0.0003646667,0.0002318567],"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":[0.0004782857,0.001197364,0.01176867,0.001350925,0.0005863875,0.002418391,0.003735363,0.05018166,0.03333362,0.2883803,0.04587254,0.5606965],"study_design_scores_gemma":[0.00006315662,0.0001556887,0.002439319,0.00047406,0.0004195257,0.0009975319,0.0007381741,0.6868625,0.01233382,0.07248996,0.2228161,0.0002101348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01016851,0.002461835,0.968402,0.001121736,0.0002051965,0.0006359871,0.0004000031,0.01125532,0.005349459],"genre_scores_gemma":[0.1313567,0.001707054,0.8589244,0.0006149221,0.0001790452,0.0005466756,0.001150172,0.0003246574,0.00519638],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01618942,"threshold_uncertainty_score":0.03219038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008649022962199571,"score_gpt":0.2102295629447163,"score_spread":0.2015805399825167,"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."}}