{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005578175,0.0003910507,0.0006906864,0.0002975474,0.0001624525,0.000284276,0.001003459,0.0001442795,0.0003680127],"category_scores_gemma":[0.00008127733,0.0002799505,0.00006288095,0.0008594522,0.0002426634,0.0003950863,0.0004873756,0.000237329,0.0002558813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001129745,"about_ca_system_score_gemma":0.0003316995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001208957,"about_ca_topic_score_gemma":0.0001255153,"domain_scores_codex":[0.9967618,0.0005573359,0.0008986816,0.000834331,0.0003864867,0.0005613865],"domain_scores_gemma":[0.9981586,0.0001862413,0.0003120592,0.0006508486,0.0005289837,0.0001632082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001082879,0.001611719,0.006597428,0.0002666638,0.000262625,0.0002433698,0.05987099,0.001077354,0.3256266,0.06769719,0.005728819,0.5299343],"study_design_scores_gemma":[0.007263843,0.01703326,0.06497791,0.005690264,0.00003253056,0.00008949338,0.003286666,0.2596557,0.6337257,0.003634641,0.00116031,0.003449702],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.42753,0.00001010761,0.5694882,0.0002164301,0.0009296037,0.0003791015,0.00001496257,0.000113627,0.001317936],"genre_scores_gemma":[0.9786338,0.000002845257,0.02082889,0.0001472417,0.0002029313,0.0000276683,0.00003927588,0.00001664322,0.0001007067],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5511038,"threshold_uncertainty_score":0.9999653,"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."}}