{"id":"W4254723006","doi":"10.1145/1240624.3258858","title":"Session details: Mobile interaction","year":2007,"lang":"en","type":"article","venue":"","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Session (web analytics); Computer science; Mobile interaction; Section (typography); Mobile computing; World Wide Web; Computer network; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004886822,0.0000619632,0.00005866959,0.00005668072,0.00005480932,0.00008313412,0.000348255,0.00004040086,0.0001683249],"category_scores_gemma":[0.00002087643,0.0000493964,0.00003494908,0.0001679314,0.0000132423,0.0006809748,0.0000968412,0.00009082724,0.0004057458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004106141,"about_ca_system_score_gemma":0.00001277804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002786524,"about_ca_topic_score_gemma":0.00003553423,"domain_scores_codex":[0.9993326,0.00002631959,0.0001487476,0.0002044626,0.0001248759,0.0001629831],"domain_scores_gemma":[0.9994263,0.0001148955,0.00002927963,0.0003204107,0.0000499441,0.00005915134],"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":[0.00006424356,0.0005359728,0.00524231,0.00002821295,0.00002358586,0.00003029945,0.003576503,0.0003874667,0.05685701,0.04142512,0.01047215,0.8813571],"study_design_scores_gemma":[0.0004143693,0.0005056203,0.007501278,0.00004307996,0.000005377618,0.00006082678,0.0008520584,0.05720565,0.786387,0.006715839,0.139872,0.0004368169],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1966142,0.00001519171,0.7896643,0.0001202466,0.0004318237,0.00007675419,6.82511e-8,0.0001844439,0.01289303],"genre_scores_gemma":[0.9701793,0.000001721706,0.02846692,0.0002740263,0.00003162818,0.000004722487,3.133579e-7,0.000002666047,0.001038725],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8809203,"threshold_uncertainty_score":0.5215177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03225878113309264,"score_gpt":0.3093351607980344,"score_spread":0.2770763796649417,"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."}}