{"id":"W2775790100","doi":"10.1145/3150165.3150169","title":"ThirdLight","year":2017,"lang":"en","type":"article","venue":"","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Engineering and Physical Sciences Research Council; Royal Society","keywords":"Computer science; Robustness (evolution); Computer vision; Scalability; Artificial intelligence; Gesture; Virtual reality; Gesture recognition; Inverse kinematics; Robot","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001154273,0.001007737,0.0006612801,0.001973265,0.002048877,0.006358712,0.002938666,0.002388749,0.3735993],"category_scores_gemma":[0.002306048,0.0005969145,0.001022537,0.001711481,0.0006768461,0.004167182,0.004926663,0.001940006,0.2236007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001388982,"about_ca_system_score_gemma":0.001965618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003691127,"about_ca_topic_score_gemma":0.006018813,"domain_scores_codex":[0.9985178,0.0001168167,0.00006823678,0.0002490196,0.0008245686,0.0002236402],"domain_scores_gemma":[0.9980666,0.000104541,0.00005397006,0.0005798844,0.0008614162,0.000333572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001661773,0.0001085054,0.000776373,0.0003545881,0.00003071996,0.0003665145,0.000273746,0.0005726934,0.01044729,0.03846749,0.4906733,0.4577625],"study_design_scores_gemma":[0.00001135116,0.00002172305,0.0002570559,0.00004487807,0.000007505166,0.0002210169,0.00007328964,0.0009074928,0.003460469,0.003091144,0.9918842,0.00001974214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003866526,0.0032443,0.1422528,0.004393073,0.007160001,0.0003750842,0.004374546,0.02449889,0.8098348],"genre_scores_gemma":[0.03307192,0.002647832,0.0599975,0.003034794,0.0009789451,0.0002779543,0.008863921,0.005985921,0.8851412],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3735993,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0256216592360931,"score_gpt":0.2750653244195578,"score_spread":0.2494436651834647,"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."}}