{"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":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0003672718,0.0001826877,0.0002013238,0.00009474564,0.0006651526,0.0008228022,0.008195546,0.00007530164,0.00001911211],"category_scores_gemma":[0.0003571388,0.0001338253,0.0001795876,0.00007506874,0.0001128621,0.001690703,0.002441701,0.0003247743,0.00006541432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007842674,"about_ca_system_score_gemma":0.00001187532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005138718,"about_ca_topic_score_gemma":0.000004225638,"domain_scores_codex":[0.9986507,0.00001293225,0.000316043,0.0004555564,0.0003431046,0.0002216397],"domain_scores_gemma":[0.9971997,0.00007596018,0.0005828229,0.001804556,0.0002857487,0.00005125775],"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":[0.0003190162,0.001823463,0.02598752,0.0005239865,0.0003955424,0.000005113071,0.0111186,0.0002440013,0.2036292,0.4126189,0.1340112,0.2093235],"study_design_scores_gemma":[0.0009721328,0.0009918341,0.1015851,0.0007955061,0.00003539111,0.0000558314,0.00008172075,0.02301969,0.7031727,0.1576485,0.01100597,0.0006356217],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764685,0.000004714108,0.005665976,0.006500773,0.002486339,0.0002684224,0.000001085935,0.0001463695,0.008457841],"genre_scores_gemma":[0.9882536,0.000001726119,0.0106647,0.0003437744,0.0002759348,0.00001306508,2.025573e-7,0.00001130887,0.0004356934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4995435,"threshold_uncertainty_score":0.9971706,"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."}}