{"id":"W2183096090","doi":"10.11575/prism/30655","title":"Building Flexible Displays for Awareness and Interaction","year":2004,"lang":"en","type":"article","venue":"PRISM (University of Calgary)","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Set (abstract data type); Computer science; Human–computer interaction; Simple (philosophy); Internet privacy; Multimedia","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":[0.0001329919,0.00007588576,0.0001499795,0.0001342799,0.0001839095,0.00003549665,0.000273901,0.0000530474,0.000004745951],"category_scores_gemma":[0.00001842698,0.00009618908,0.00006157179,0.0001270133,0.00004326482,0.0009387218,0.0001723318,0.00006680907,0.000005965286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000671,"about_ca_system_score_gemma":0.00005991821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008567114,"about_ca_topic_score_gemma":0.00002870273,"domain_scores_codex":[0.9994124,0.0000234389,0.00007956677,0.0002441372,0.0001146813,0.0001257843],"domain_scores_gemma":[0.9994698,0.0001019487,0.0001058356,0.0001805772,0.00007631533,0.00006548173],"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":[0.00007599755,0.0001264611,0.001176264,0.0001373436,0.00006532038,0.00001721047,0.002868402,0.00001307681,0.008320836,0.04427648,0.0002593173,0.9426633],"study_design_scores_gemma":[0.01645949,0.001257678,0.06757787,0.001327138,0.0002354906,0.0003504979,0.001230793,0.627373,0.06121052,0.0946704,0.1260197,0.002287468],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1680771,0.00003213588,0.8304903,0.0004576967,0.0001687989,0.0001640347,4.054178e-7,0.00007330263,0.0005362274],"genre_scores_gemma":[0.8387459,0.00001025687,0.1609846,0.00002759151,0.00001068834,9.597039e-7,0.00000208085,0.000004699255,0.0002132539],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9403758,"threshold_uncertainty_score":0.3922476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02494442581038069,"score_gpt":0.2491997429767676,"score_spread":0.2242553171663869,"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."}}