{"id":"W4210748065","doi":"10.1108/9781802623659","title":"Designing XR: A Rhetorical Design Perspective for the Ecology of Human+Computer Systems","year":2022,"lang":"en","type":"book","venue":"","topic":"Information Systems Theories and Implementation","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Perspective (graphical); Rhetorical question; Ecology; Computer science; Sociology; Biology; Artificial intelligence; Linguistics; 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":[0.007138412,0.0009161221,0.0006100764,0.001363364,0.003036256,0.01027374,0.001873014,0.002650902,0.009967249],"category_scores_gemma":[0.006081208,0.0005893349,0.0007005081,0.001157265,0.02146618,0.01433275,0.003962615,0.004480279,0.001559905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002101227,"about_ca_system_score_gemma":0.002763166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001293488,"about_ca_topic_score_gemma":0.001203324,"domain_scores_codex":[0.9938383,0.004984716,0.0001335357,0.0003412318,0.000531502,0.0001707721],"domain_scores_gemma":[0.9943843,0.004595443,0.0001556191,0.0003724208,0.0003181838,0.0001740287],"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":[0.000004544403,0.00000709213,0.00003428306,0.00009697588,0.000002299835,0.00004160572,0.003147789,0.0004651146,0.0002975315,0.9869959,0.001634866,0.007271989],"study_design_scores_gemma":[0.00003050333,0.00008951194,0.00009817022,0.0001582135,0.00001471831,0.0002292644,0.005817531,0.005874142,0.001704702,0.7938712,0.1920904,0.00002162641],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.007252155,0.002035334,0.778618,0.02114838,0.0005593867,0.0002296794,0.00005853979,0.0005385971,0.1895599],"genre_scores_gemma":[0.3503897,0.002873625,0.5431876,0.004938146,0.0005846196,0.001350185,0.000130676,0.0007928962,0.09575254],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01027374,"threshold_uncertainty_score":0.03775203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0960210290404827,"score_gpt":0.3756548491146249,"score_spread":0.2796338200741422,"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."}}