{"id":"W3216898555","doi":"","title":"Korero: Facilitating Complex Referencing of Visual Materials in Asynchronous Discussion Interface","year":2018,"lang":"en","type":"article","venue":"Conference on Computer Supported Cooperative Work","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Referent; Computer science; Asynchronous communication; Interface (matter); Context (archaeology); Human–computer interaction; User interface; 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":[0.004597662,0.001444106,0.0006727079,0.001002117,0.0004754598,0.001764357,0.002078822,0.001744018,0.01115045],"category_scores_gemma":[0.02347098,0.0005856552,0.0007475413,0.0004078436,0.0005273849,0.005184732,0.004483762,0.0007830816,0.002272341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002511384,"about_ca_system_score_gemma":0.0004384832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002708314,"about_ca_topic_score_gemma":0.0004150304,"domain_scores_codex":[0.9970476,0.001553604,0.000268735,0.0004879896,0.00047603,0.0001660698],"domain_scores_gemma":[0.9806964,0.01504149,0.0008868445,0.00187157,0.0008874604,0.000616321],"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":[0.005012413,0.001710026,0.005554915,0.006729471,0.0002344201,0.002176626,0.03177132,0.003326519,0.2745395,0.01184465,0.02276061,0.6343396],"study_design_scores_gemma":[0.00507029,0.01411257,0.05439513,0.003134201,0.001181888,0.008802284,0.01941019,0.1045391,0.1900542,0.0323525,0.5652549,0.00169287],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2869774,0.00133964,0.6558691,0.000489799,0.0003477527,0.001955194,0.001041921,0.0390978,0.0128814],"genre_scores_gemma":[0.4427569,0.0005746271,0.5370682,0.0005506859,0.0001670484,0.001829644,0.001225855,0.001906559,0.01392048],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01115045,"threshold_uncertainty_score":0.03730196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04647666313927546,"score_gpt":0.3071629441187192,"score_spread":0.2606862809794438,"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."}}