{"id":"W2551282186","doi":"10.1145/2987592.2987608","title":"Arguing about design","year":2016,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rhetorical question; Metis; Situated; Normative; Context (archaeology); Negotiation; User experience design; Computer science; Bridge (graph theory); Taxonomy (biology); Sociology; Human–computer interaction; Epistemology; Linguistics; World Wide Web; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03785244,0.001451287,0.001229734,0.002819882,0.01017345,0.01825414,0.003681838,0.01085589,0.009343917],"category_scores_gemma":[0.04261726,0.0008310046,0.00149958,0.001836735,0.05809842,0.02164397,0.009382923,0.01169573,0.003086835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006405117,"about_ca_system_score_gemma":0.004822359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001136236,"about_ca_topic_score_gemma":0.0008913931,"domain_scores_codex":[0.955827,0.03387288,0.001619044,0.003045351,0.004432879,0.001202924],"domain_scores_gemma":[0.9554494,0.03132599,0.001928895,0.006661808,0.003605907,0.001027945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007215314,0.000008697464,0.00009929382,0.00009244105,0.00001148734,0.00006257046,0.01077036,0.0001277761,0.0001044037,0.9798535,0.005091541,0.00377076],"study_design_scores_gemma":[0.00001572795,0.00002111226,0.00005895393,0.0004145681,0.00001654853,0.0001918584,0.00646521,0.0005167789,0.0003350759,0.7403746,0.2515739,0.00001578013],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.0137343,0.01306914,0.3020774,0.2236992,0.005156322,0.0003272033,0.0001985979,0.0004929353,0.441245],"genre_scores_gemma":[0.7090151,0.008683927,0.1520043,0.04836769,0.002590283,0.00113783,0.0004085473,0.0006925726,0.07709975],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.03785244,"threshold_uncertainty_score":0.2001853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03453938773996797,"score_gpt":0.2682911278339125,"score_spread":0.2337517400939445,"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."}}