{"id":"W2049817002","doi":"10.1145/2556288.2557199","title":"Panelrama","year":2014,"lang":"en","type":"article","venue":"","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Synchronization (alternating current); Sample (material); Categorization; Human–computer interaction; Distributed computing; Software engineering; Artificial intelligence; Computer network","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":[0.001645959,0.00105974,0.0006296275,0.00124646,0.0009140113,0.002680278,0.002784601,0.001399465,0.08481817],"category_scores_gemma":[0.004431379,0.0009021294,0.001461095,0.0006318818,0.0005997387,0.003492172,0.004558238,0.002562595,0.04411537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000443793,"about_ca_system_score_gemma":0.0008973564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001735105,"about_ca_topic_score_gemma":0.002200977,"domain_scores_codex":[0.998776,0.0002553225,0.000071823,0.0002608144,0.0004901629,0.0001458639],"domain_scores_gemma":[0.9978936,0.0005054011,0.0001075267,0.000862395,0.0003422722,0.0002888516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008285497,0.000396316,0.001969557,0.001231447,0.00008948363,0.0007490271,0.001633623,0.003386147,0.03019069,0.06654633,0.294099,0.5988799],"study_design_scores_gemma":[0.00007436846,0.0001765194,0.001194275,0.0002439132,0.00003989215,0.0007303379,0.0001245395,0.01297823,0.00924434,0.01313611,0.9619738,0.00008364581],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.009098229,0.001154143,0.6481048,0.00115991,0.0006461807,0.0007358188,0.003270797,0.193572,0.1422581],"genre_scores_gemma":[0.09809287,0.001407093,0.6276186,0.002017304,0.0003305994,0.001464688,0.01366622,0.03456026,0.2208423],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08481817,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441809810745439,"score_gpt":0.2127736668073482,"score_spread":0.1983555686998938,"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."}}