{"id":"W2003174131","doi":"10.1145/2824823.2824827","title":"Collaborative annotations for large touchscreen web Applications","year":2015,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Markup language; Touchscreen; Software walkthrough; Human–computer interaction; World Wide Web; Software; Multimedia; HTML5; Software development; XML; Software construction","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001004356,0.00006404912,0.00006848717,0.00005620242,0.0001170705,0.00006914794,0.000311522,0.00002279165,0.00001619001],"category_scores_gemma":[0.0000454261,0.00005676614,0.00003414647,0.0003586877,0.00001049668,0.0005146748,0.00006388198,0.00003469869,0.0002052784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003251559,"about_ca_system_score_gemma":0.0001793853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005559451,"about_ca_topic_score_gemma":0.00002820118,"domain_scores_codex":[0.9994508,0.00001951537,0.00009478437,0.000186369,0.00009112748,0.000157401],"domain_scores_gemma":[0.9987738,0.00008672966,0.00004130982,0.000220353,0.0007969143,0.00008091608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006560932,0.00007212911,0.00009927648,0.000001544951,0.00001641249,2.898189e-7,0.0006337987,0.000008100313,0.001988243,0.8818427,0.1150037,0.0003272633],"study_design_scores_gemma":[0.0009600928,0.0001687051,0.0007155944,0.000003258748,0.000009053977,0.00000213749,0.002573543,0.02641033,0.0100071,0.008750271,0.9502022,0.000197698],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001751394,0.00002758157,0.9252295,0.001848851,0.00008689755,0.000439443,0.00009144792,0.00002754317,0.07207362],"genre_scores_gemma":[0.8532732,0.000004402439,0.1335775,0.003681616,0.0001611096,0.001112223,0.0001088257,0.00001188213,0.008069254],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8730924,"threshold_uncertainty_score":0.2638507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02159594247653544,"score_gpt":0.3141476661248844,"score_spread":0.2925517236483489,"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."}}