{"id":"W2487291315","doi":"10.4018/978-1-4666-8679-3.ch018","title":"Making Design Review Interactive","year":2015,"lang":"en","type":"book-chapter","venue":"Advances in media, entertainment and the arts (AMEA) book series","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Affordance; Computer science; Process (computing); Vagueness; Participatory design; Human–computer interaction; Design process; Communication design; Visualization; Citizen journalism; Multimedia; Engineering; Work in process; World Wide Web; Artificial intelligence","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":[0.04563715,0.001370402,0.00119492,0.007292177,0.004712327,0.01904416,0.002827005,0.003536345,0.05420181],"category_scores_gemma":[0.138916,0.0007327966,0.001633998,0.004089539,0.007045351,0.01072275,0.0131565,0.004883218,0.01452756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007850175,"about_ca_system_score_gemma":0.0147043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008691653,"about_ca_topic_score_gemma":0.002807147,"domain_scores_codex":[0.9286878,0.04739411,0.00415877,0.0032013,0.01543737,0.001120659],"domain_scores_gemma":[0.8474538,0.1065162,0.004883897,0.01573705,0.02114807,0.004260932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006315781,0.00006176876,0.000228875,0.005045943,0.00007953778,0.000329868,0.02364447,0.0006599427,0.001392848,0.2359409,0.3819323,0.3506204],"study_design_scores_gemma":[0.00000862003,0.00001223838,0.00006444745,0.001215954,0.00001364314,0.00009867557,0.001992085,0.00007729027,0.0002275004,0.01550316,0.980775,0.00001147536],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.00572095,0.05139624,0.2468761,0.0915603,0.06662567,0.003101271,0.001062737,0.002699808,0.530957],"genre_scores_gemma":[0.145837,0.06976817,0.2703689,0.03693657,0.02525257,0.009261885,0.002211294,0.003916516,0.436447],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05420181,"threshold_uncertainty_score":0.2413552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04301893943981581,"score_gpt":0.310736032092616,"score_spread":0.2677170926528001,"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."}}