{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002182132,0.0009315436,0.0002722859,0.0009244807,0.002323786,0.003174885,0.001154161,0.001521199,0.04898842],"category_scores_gemma":[0.005148555,0.0004620463,0.000411468,0.0003705524,0.001567573,0.003376575,0.002594976,0.001307352,0.01401985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001546652,"about_ca_system_score_gemma":0.001900063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002173321,"about_ca_topic_score_gemma":0.006209861,"domain_scores_codex":[0.9982257,0.0005827317,0.0000694198,0.0004245299,0.0005389866,0.0001586978],"domain_scores_gemma":[0.9989203,0.0003102954,0.00009193974,0.0002099486,0.0003044055,0.0001631057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003700436,0.0002845167,0.003739801,0.001316304,0.00005173441,0.001258205,0.03741927,0.002115564,0.03455015,0.2422161,0.1529653,0.5237131],"study_design_scores_gemma":[0.00002229122,0.0001184835,0.000768329,0.0001027761,0.0000189329,0.0004751158,0.003028709,0.0008357115,0.003792365,0.004018629,0.9867837,0.00003488787],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.05400413,0.001693512,0.4046124,0.006701023,0.002128433,0.002385985,0.0009293079,0.007424342,0.5201209],"genre_scores_gemma":[0.2219179,0.001123469,0.3072416,0.003671612,0.0002012379,0.002622509,0.001150149,0.00290729,0.4591643],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04898842,"threshold_uncertainty_score":0.1638826,"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."}}