{"id":"W10113400","doi":"","title":"Ubiquitous Computing in Physico-Spatial Environments - Activity Theoretical Considerations","year":2007,"lang":"en","type":"article","venue":"Health care financing review","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ubiquitous computing; Space (punctuation); Computer science; Spatial contextual awareness; Context (archaeology); Relation (database); Human–computer interaction; Point (geometry); Physical space; Spatial design; Process (computing); Data science; Artificial intelligence; Mathematics; Geography; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001317061,0.0007154793,0.000851248,0.001941067,0.001439651,0.005276602,0.001881172,0.002780543,0.005768051],"category_scores_gemma":[0.004819895,0.0005293755,0.001061782,0.001718968,0.007115619,0.007309407,0.002512695,0.001942873,0.001272834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002388941,"about_ca_system_score_gemma":0.0008287466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004777067,"about_ca_topic_score_gemma":0.003069661,"domain_scores_codex":[0.9987159,0.0005838349,0.0000688519,0.0001927728,0.0002968226,0.000141881],"domain_scores_gemma":[0.9977005,0.001640005,0.0001266032,0.0001960629,0.0002288621,0.0001080573],"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":[0.000004499235,0.00001269179,0.0002794982,0.00009147238,0.000008921715,0.00005352171,0.0002013209,0.01067537,0.0001178584,0.9828964,0.0006506394,0.005007839],"study_design_scores_gemma":[0.000007087417,0.0000402695,0.000591989,0.0001140452,0.00001491767,0.0002446888,0.0005948052,0.04420087,0.0001534981,0.9321653,0.0218506,0.00002194502],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02860354,0.02781026,0.6699023,0.0395506,0.0008700988,0.0001012143,0.0002740027,0.0002323588,0.2326556],"genre_scores_gemma":[0.8638235,0.02152237,0.09084956,0.002230881,0.001343399,0.0005166117,0.0001859747,0.00008505031,0.01944267],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005768051,"threshold_uncertainty_score":0.01929611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02303427115722765,"score_gpt":0.3229370847280301,"score_spread":0.2999028135708024,"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."}}