{"id":"W2039469779","doi":"10.1145/2659766.2661218","title":"LeapLook","year":2014,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Wearable computer; Computer science; Motion (physics); Human–computer interaction; Tracking (education); Computer vision; Wearable technology; Artificial intelligence; Computer graphics (images); Embedded system","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004538236,0.00002976915,0.00003079087,0.00001982542,0.00002715209,0.0000297672,0.0002539909,0.000008803167,0.0000870036],"category_scores_gemma":[0.00001382021,0.0000231481,0.00002186941,0.00004563106,0.000006247813,0.000253664,0.00005507353,0.00002686065,0.001351109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004378515,"about_ca_system_score_gemma":0.000004190933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000686677,"about_ca_topic_score_gemma":8.384725e-7,"domain_scores_codex":[0.9997272,0.00001345676,0.00003442195,0.0000947907,0.00004945102,0.00008069252],"domain_scores_gemma":[0.9997485,0.00002710056,0.00000948362,0.0001640292,0.00002944327,0.00002140231],"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":[9.991483e-7,0.00001185785,0.0001292659,6.831675e-7,0.000003060275,5.892287e-7,0.00009537225,0.000001657426,0.01747208,0.9571096,0.01918044,0.005994434],"study_design_scores_gemma":[0.0003732687,0.0002256043,0.02988821,0.000007167334,0.000002871928,0.00001656337,0.00006128373,0.06525686,0.3611661,0.02022544,0.5224555,0.000321175],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00149316,0.000001930263,0.6734612,0.0005726515,0.0001188341,0.000009940063,2.586834e-8,0.0000124521,0.3243298],"genre_scores_gemma":[0.9851817,4.792184e-7,0.005419983,0.004050907,0.00002975957,0.000001264739,2.274653e-7,0.00000146667,0.005314203],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9836885,"threshold_uncertainty_score":0.9994264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004993843874882998,"score_gpt":0.2106577051034114,"score_spread":0.2056638612285284,"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."}}