{"id":"W2774191699","doi":"10.1145/3134669","title":"Korero","year":2017,"lang":"en","type":"article","venue":"Proceedings of the ACM on Human-Computer Interaction","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National University of Singapore","keywords":"Referent; Computer science; Context (archaeology); Human–computer interaction; Asynchronous communication; Interface (matter); Multimedia; Linguistics","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":[0.002164443,0.001001658,0.0006958147,0.001083122,0.0007794303,0.002737579,0.002234237,0.001462171,0.1301919],"category_scores_gemma":[0.009828009,0.0006821394,0.0008360513,0.0005679135,0.0004540581,0.004826283,0.004223534,0.001102075,0.05502849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000403561,"about_ca_system_score_gemma":0.0008358115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005681323,"about_ca_topic_score_gemma":0.0008458751,"domain_scores_codex":[0.9983104,0.0003917959,0.0001392197,0.0004483742,0.0005596481,0.0001503967],"domain_scores_gemma":[0.995356,0.001950102,0.0002257873,0.001055384,0.0009586874,0.0004540755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.003129479,0.0005476295,0.002537954,0.004291889,0.0001071132,0.0006661794,0.005662428,0.001064957,0.05953303,0.03950928,0.2392093,0.6437408],"study_design_scores_gemma":[0.0002907505,0.000658679,0.003048097,0.0004188474,0.0000769384,0.001006252,0.0008613883,0.004754907,0.0111334,0.009631854,0.9679883,0.0001304644],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06151311,0.003832617,0.4246838,0.00155328,0.00175244,0.002437555,0.01172782,0.1327655,0.3597338],"genre_scores_gemma":[0.2209432,0.002432089,0.3171113,0.002209431,0.0005514862,0.003264472,0.02217696,0.02748564,0.4038253],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1301919,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1011768961218875,"score_gpt":0.348429257362093,"score_spread":0.2472523612402055,"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."}}