{"id":"W2416949121","doi":"10.1145/2908805.2909406","title":"JogChalking","year":2016,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gesture; Computer science; Session (web analytics); Human–computer interaction; Motion capture; Set (abstract data type); Visualization; Fidelity; Multimedia; Motion (physics); Artificial intelligence; World Wide Web; Programming language","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":[0.0008575313,0.0008256119,0.0005827553,0.0009719682,0.001252422,0.002757975,0.001191753,0.001375965,0.0783533],"category_scores_gemma":[0.003408631,0.000401331,0.0006022674,0.0005906136,0.0007865371,0.002590989,0.003140435,0.0009944078,0.02754577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003627991,"about_ca_system_score_gemma":0.001113844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00222067,"about_ca_topic_score_gemma":0.007008984,"domain_scores_codex":[0.9990637,0.0001293437,0.00005164723,0.0003010645,0.0003389191,0.0001152482],"domain_scores_gemma":[0.9985195,0.0003578904,0.00004645495,0.0004379918,0.0003780218,0.0002601336],"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":[0.0009466454,0.0001658692,0.003819928,0.001859865,0.00008557968,0.0009043994,0.004897976,0.001156267,0.05984174,0.01681942,0.3252167,0.5842856],"study_design_scores_gemma":[0.00004882781,0.0001907312,0.003337638,0.0002022743,0.00005886451,0.0009139784,0.000523167,0.002810194,0.01104208,0.003639641,0.9771299,0.0001028594],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07531234,0.006214876,0.2957862,0.004111968,0.005336981,0.001163328,0.006438899,0.09511707,0.5105183],"genre_scores_gemma":[0.2360865,0.003331525,0.2524657,0.002879998,0.0006426739,0.001443513,0.009900589,0.01802331,0.4752261],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0783533,"threshold_uncertainty_score":0.2621179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01418125717335653,"score_gpt":0.2484833050198474,"score_spread":0.2343020478464909,"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."}}