{"id":"W4301656030","doi":"10.5753/wscad.2005.18992","title":"Um Suporte à Computação Pervasiva para o Holoparadigma","year":2005,"lang":"pt","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hewlett-Packard (Canada)","funders":"","keywords":"Humanities; Computer science; Physics; Political science; Philosophy","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":[0.0008068471,0.0008752141,0.000613421,0.0005518348,0.0009458155,0.003264665,0.001598113,0.001112395,0.008663569],"category_scores_gemma":[0.003533523,0.0005265012,0.0006110313,0.0007551404,0.001241381,0.003729245,0.002677122,0.001566522,0.002205356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009695094,"about_ca_system_score_gemma":0.001068529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002748783,"about_ca_topic_score_gemma":0.004229605,"domain_scores_codex":[0.9990237,0.0001538169,0.00006329622,0.0003265152,0.0003252652,0.0001075178],"domain_scores_gemma":[0.9978507,0.0007164052,0.0001349732,0.0007945898,0.0003269995,0.0001764052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001571242,0.0003707054,0.009771622,0.001389787,0.0001828281,0.001096875,0.003067208,0.04843685,0.2247419,0.06139686,0.00715464,0.6408194],"study_design_scores_gemma":[0.0002080341,0.001758129,0.01291812,0.0003792507,0.0003782624,0.002271537,0.001987173,0.4029816,0.249811,0.06398202,0.2630669,0.0002579811],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2156433,0.0023246,0.7430192,0.001263344,0.0003051781,0.0003475286,0.000365747,0.009543383,0.0271877],"genre_scores_gemma":[0.7214019,0.001136415,0.2543014,0.0003120183,0.00008151393,0.0002354737,0.0003534377,0.0005994715,0.02157832],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008663569,"threshold_uncertainty_score":0.02898252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08243717095532832,"score_gpt":0.3040132763362741,"score_spread":0.2215761053809458,"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."}}