{"id":"W3024929940","doi":"10.1177/1473325020924456","title":"Enriching social work research through architectural multisensory methods: Strategies for connecting the built environment and human experience","year":2020,"lang":"en","type":"article","venue":"Qualitative Social Work","topic":"Participatory Visual Research Methods","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Built environment; Sketch; Architecture; Sociology; Focus (optics); Data science; Work (physics); Engineering ethics; Human–computer interaction; Computer science; Architectural engineering; Visual arts; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.01740371,0.0002367866,0.0004235077,0.00005195904,0.0138435,0.0004737134,0.0005915939,0.0001799419,0.0001408788],"category_scores_gemma":[0.009506397,0.0002005825,0.000173966,0.00132843,0.004134034,0.000360155,0.0003099786,0.000980238,0.00001580975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000244242,"about_ca_system_score_gemma":0.0001875363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008408042,"about_ca_topic_score_gemma":0.00009810739,"domain_scores_codex":[0.9700999,0.02657915,0.0004440105,0.0006175001,0.001117101,0.001142298],"domain_scores_gemma":[0.9814648,0.01779452,0.0002013262,0.0001308449,0.0001789637,0.0002295611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000132038,0.00002679022,0.0001072069,0.00002081107,0.00005140131,0.000001624741,0.831468,0.00001114054,0.002323938,0.1499416,0.0002728371,0.01564262],"study_design_scores_gemma":[0.0003338987,0.0001292196,0.001601021,0.00001851978,0.00001580418,7.636841e-8,0.8913376,0.00001891138,0.0003274438,0.07697473,0.02897992,0.0002628164],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9001522,0.000385707,0.07083134,0.02393908,0.0001309009,0.001416543,0.00001689934,0.0001160842,0.003011222],"genre_scores_gemma":[0.9491586,0.000007242892,0.04866496,0.0003327234,0.001143106,0.0004457626,0.00000282326,0.00003827863,0.000206484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07296682,"threshold_uncertainty_score":0.9988369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8663025651296306,"score_gpt":0.7378457847181938,"score_spread":0.1284567804114367,"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."}}