{"id":"W2129160770","doi":"10.1145/1357054.1357106","title":"Graffiti vs. unistrokes","year":2008,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Graffiti; Usability; Stylus; Text entry; Words per minute; Computer science; Phrase; Artificial intelligence; Computer vision; Human–computer interaction; Linguistics; Operating system; Reading (process)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002937005,0.000650077,0.0008568346,0.00194513,0.0004660377,0.002128265,0.0007205039,0.0007752776,0.01541921],"category_scores_gemma":[0.03056397,0.0002556065,0.0005446393,0.001595672,0.0005850423,0.002492414,0.0015422,0.0006498131,0.003849912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003568087,"about_ca_system_score_gemma":0.0003356241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006063432,"about_ca_topic_score_gemma":0.0009247992,"domain_scores_codex":[0.9967723,0.0006599547,0.0006169266,0.0005584391,0.001114789,0.0002775238],"domain_scores_gemma":[0.972737,0.01795364,0.003569371,0.002058982,0.002117316,0.001563687],"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":[0.0152675,0.0009963077,0.05528718,0.003676514,0.0002298009,0.0002535235,0.003694342,0.001020545,0.03222324,0.002843696,0.007973295,0.876534],"study_design_scores_gemma":[0.001672069,0.03261679,0.7930172,0.001942609,0.0009664418,0.004715255,0.006253698,0.01047056,0.05706313,0.00491784,0.0858277,0.000536825],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9400274,0.005096025,0.01189261,0.0003496022,0.0005933245,0.0003911536,0.001771379,0.002065277,0.03781324],"genre_scores_gemma":[0.9597888,0.002867071,0.01561451,0.0002001371,0.0002346058,0.000599431,0.001564816,0.0006077273,0.018523],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01541921,"threshold_uncertainty_score":0.0515824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01634131161576548,"score_gpt":0.2255190664928229,"score_spread":0.2091777548770574,"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."}}