{"id":"W6907317519","doi":"10.20380/gi2017.01","title":"A Conversation with the CHCCS 2017 Achievement Award Winner","year":2017,"lang":"en","type":"article","venue":"Canada Human-Computer Communications Society","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conversation; Casual; Variety (cybernetics); Field (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.0005064714,0.0001949679,0.0001764167,0.00001463109,0.004035851,0.0007983664,0.007885549,0.00006093337,0.000006533809],"category_scores_gemma":[0.000009260661,0.000143417,0.0001083994,0.00009121508,0.0005519063,0.0006067483,0.001592094,0.0003834077,0.000009128366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003815085,"about_ca_system_score_gemma":0.0005775437,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08588655,"about_ca_topic_score_gemma":0.2571343,"domain_scores_codex":[0.998561,0.0001605686,0.0002349302,0.0003589538,0.0003878223,0.0002967702],"domain_scores_gemma":[0.9920602,0.0001668765,0.0002904844,0.007134256,0.0002517757,0.00009643926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001005449,0.0004046538,0.006447788,0.00006560649,0.0006838087,0.000008340169,0.03274148,0.0008574172,0.0003117952,0.102813,0.8446867,0.0109694],"study_design_scores_gemma":[0.00138509,0.0001737139,0.08852317,0.00008944885,0.00007363571,0.00002054474,0.0008090562,0.1894026,0.0004903505,0.001374038,0.716807,0.0008513702],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03664916,0.0001988944,0.6583629,0.3017303,0.0005383871,0.0007592328,0.00001493255,0.0001856278,0.001560473],"genre_scores_gemma":[0.93498,0.000027835,0.06016891,0.004047113,0.00008569509,0.00007024155,0.00001782425,0.00001316801,0.0005892243],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8983308,"threshold_uncertainty_score":0.9974822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05363018520336355,"score_gpt":0.278265671346276,"score_spread":0.2246354861429125,"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."}}