{"id":"W1998695157","doi":"10.1145/1520340.1520378","title":"Designing CALLY,","year":2009,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Brainstorming; Human–computer interaction; Computer science; Implementation; Ideation; Robot; Process (computing); Participatory design; Phone; Multimedia; Software engineering; Engineering; Artificial intelligence; Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.00009160237,0.00004821853,0.00004505957,0.0001037009,0.00005982727,0.00004527622,0.00036168,0.00003842177,0.00003843701],"category_scores_gemma":[0.00001733712,0.00004241126,0.0000131628,0.0002513987,0.00001322793,0.0003929539,0.00003781117,0.0001067267,0.0002149164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002769448,"about_ca_system_score_gemma":0.00001173305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002523413,"about_ca_topic_score_gemma":0.000001289667,"domain_scores_codex":[0.9995715,0.000008936287,0.00008530462,0.0001449094,0.00006965645,0.0001196927],"domain_scores_gemma":[0.9996634,0.00001296503,0.00002826815,0.0002181356,0.00006611799,0.00001109381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[7.660274e-7,0.00001769252,0.00007052659,2.492771e-7,0.000002381429,0.00001023641,0.00009593319,0.000003701816,0.05385491,0.8974224,0.003681406,0.04483977],"study_design_scores_gemma":[0.0002717164,0.0003867192,0.009426348,0.00001393304,0.00000183751,0.0001079525,0.00004920231,0.01423799,0.8144729,0.1510003,0.009739046,0.0002920953],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008444938,0.000003905699,0.9225188,0.0029367,0.0001286464,0.00003540659,1.540662e-8,0.000447033,0.06548456],"genre_scores_gemma":[0.7970735,2.652198e-7,0.2002415,0.001709827,0.00001675875,0.000001308499,1.538186e-7,0.000001145461,0.0009554542],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7886286,"threshold_uncertainty_score":0.2762387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02063509913212887,"score_gpt":0.2789003716476309,"score_spread":0.258265272515502,"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."}}