{"id":"W2579436119","doi":"10.52842/conf.acadia.2016.372","title":"Researching Inhabitant Agency in Interactive Architecture","year":2016,"lang":"en","type":"article","venue":"ACADIA quarterly","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Agency (philosophy); Relevance (law); Empowerment; Space (punctuation); Architecture; Field (mathematics); Set (abstract data type); Perception; Computer science; Human–computer interaction; Engineering; Architectural engineering; Psychology; Sociology; Political science; Social science","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":[0.004543566,0.000413015,0.0003046679,0.001673979,0.002526358,0.00595871,0.000778576,0.001064044,0.002856056],"category_scores_gemma":[0.007908459,0.0003398134,0.0004616285,0.001389474,0.01428348,0.006482942,0.004379074,0.001228063,0.0002037935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002319423,"about_ca_system_score_gemma":0.001828964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002813382,"about_ca_topic_score_gemma":0.003499934,"domain_scores_codex":[0.9930956,0.005366086,0.0001495281,0.000467994,0.0005141732,0.0004066277],"domain_scores_gemma":[0.9909979,0.006289692,0.0009285613,0.0008240594,0.0005120445,0.000447768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008284818,0.0001976848,0.02702797,0.0004986688,0.00006871867,0.000489277,0.2851353,0.003977424,0.003442584,0.6275672,0.0005164566,0.05099587],"study_design_scores_gemma":[0.00003944506,0.0007499816,0.05591055,0.0008404386,0.000123648,0.001480234,0.3689643,0.01399938,0.005153484,0.3693406,0.183281,0.0001169525],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7427034,0.003549548,0.08382516,0.002721299,0.00005662071,0.0001249585,0.00003200913,0.00007490467,0.166912],"genre_scores_gemma":[0.9940313,0.0006302323,0.003749608,0.00003710599,0.000009005875,0.00003755606,0.000007946612,0.00000809707,0.001489163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00595871,"threshold_uncertainty_score":0.02402902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01274568616065991,"score_gpt":0.2826153345399407,"score_spread":0.2698696483792808,"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."}}