{"id":"W4241463658","doi":"10.1007/978-981-32-9945-0_7","title":"Conclusion","year":2019,"lang":"en","type":"book-chapter","venue":"Cognitive intelligence and robotics","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Biometrics; Computer science; Artificial intelligence; Pattern recognition (psychology)","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":[0.002174294,0.0005116969,0.0003370079,0.001107982,0.00214409,0.005460005,0.001441475,0.001953224,0.3086481],"category_scores_gemma":[0.007632416,0.0001674455,0.0006007854,0.0007767119,0.001126039,0.003066326,0.00227995,0.00229577,0.1162233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003075928,"about_ca_system_score_gemma":0.003880361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006582306,"about_ca_topic_score_gemma":0.007380801,"domain_scores_codex":[0.9981204,0.0002983786,0.00005085657,0.0003737267,0.0008720804,0.0002847051],"domain_scores_gemma":[0.9968273,0.0004757807,0.00009267335,0.0003809947,0.001753215,0.0004699582],"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":[0.0001033838,0.00005189546,0.0008838974,0.0002613887,0.00001336841,0.0001423244,0.0005968063,0.000160931,0.0004945569,0.1762277,0.6819072,0.1391565],"study_design_scores_gemma":[0.000008819322,0.000009450903,0.0005429703,0.0001584448,0.000006616237,0.00006600723,0.0005262669,0.00004953563,0.0003239133,0.01964473,0.9786586,0.000004615958],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001721047,0.001706837,0.004781063,0.03803093,0.007452587,0.00008844853,0.001112382,0.0003918916,0.9447148],"genre_scores_gemma":[0.03150399,0.002138898,0.003397226,0.03304034,0.002135179,0.0001379338,0.001766335,0.0004478103,0.9254323],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3086481,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04339881004719913,"score_gpt":0.2678854211388274,"score_spread":0.2244866110916282,"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."}}