{"id":"W2177932659","doi":"","title":"Design of a framework using InkML for pen-based interaction in a collaborative environment","year":2009,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Inkwell; Rendering (computer graphics); Interpretation (philosophy); Human–computer interaction; Representation (politics); Focus (optics); Multimedia; Artificial intelligence; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002774507,0.0002859232,0.0003988722,0.0003448438,0.0001354803,0.0002041098,0.00122936,0.0002515101,0.00002812425],"category_scores_gemma":[0.0009234963,0.0003196168,0.0001593855,0.0004004418,0.00009881509,0.0002872106,0.0005419594,0.0005343869,0.000006447811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003512274,"about_ca_system_score_gemma":0.0004526881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002408172,"about_ca_topic_score_gemma":0.0000503304,"domain_scores_codex":[0.9945608,0.003617807,0.0005387677,0.0007044628,0.0002963794,0.0002817364],"domain_scores_gemma":[0.9940006,0.002466544,0.0007748794,0.001330511,0.001354008,0.00007344748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006836918,0.006705291,0.001255989,0.0007877787,0.0004351646,0.00002651319,0.09807159,0.3044947,0.2233319,0.3153408,0.000883616,0.047983],"study_design_scores_gemma":[0.0005674665,0.000003601504,0.0007560399,0.00276734,0.00002627786,0.000001868646,0.0002150742,0.7278658,0.2557304,0.01125211,0.0004586397,0.0003554142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0115392,0.0002558281,0.9839792,0.002122766,0.0001891219,0.0009789556,0.00002981784,0.00002271627,0.0008824141],"genre_scores_gemma":[0.5148696,0.0000665327,0.4847013,0.0001194133,0.00000851848,0.00008708923,0.00006273575,0.00001598669,0.00006875427],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5033305,"threshold_uncertainty_score":0.9999256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02571543985625775,"score_gpt":0.2723723399891063,"score_spread":0.2466569001328486,"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."}}