{"id":"W1528201305","doi":"10.1109/iswc.1999.806928","title":"The WristCam as input device","year":2003,"lang":"en","type":"article","venue":"","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer vision; Computer science; Wearable computer; Artificial intelligence; Computer graphics (images); Rest (music); Movement (music); Position (finance); Set (abstract data type); Wrist; Base (topology); Movement control; Acoustics; Mathematics; Embedded system; Physical medicine and rehabilitation","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":[0.0004477886,0.00005947207,0.0000566625,0.00001920015,0.0001787362,0.0002225733,0.0004046073,0.0000290073,0.00003635859],"category_scores_gemma":[0.0001028486,0.00003348742,0.00002991097,0.000239331,0.00001636343,0.0001404842,0.00003969184,0.00005926048,0.002275171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001134663,"about_ca_system_score_gemma":0.00004693279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001460561,"about_ca_topic_score_gemma":0.00003018215,"domain_scores_codex":[0.99927,0.0001176456,0.0001233494,0.0001537127,0.000176562,0.0001586858],"domain_scores_gemma":[0.9992799,0.0001874267,0.00003249585,0.0003654704,0.00007413104,0.00006064234],"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":[6.874316e-7,0.00002049112,0.0003045224,0.000004050656,0.0000144567,0.000008414357,0.0003249446,0.000001985357,0.0001208579,0.8939573,0.01436806,0.09087422],"study_design_scores_gemma":[0.0001053085,0.00001883453,0.000220073,0.000005162159,0.000001073088,0.00007898052,0.00007129044,0.0002089482,0.003220853,0.0071234,0.9888626,0.00008351771],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002190994,0.0002691318,0.3006457,0.002141759,0.00070483,0.000129994,1.362768e-7,0.0001651652,0.6937522],"genre_scores_gemma":[0.97466,0.00002037256,0.006422614,0.001801258,0.00005699383,0.00002042999,1.931657e-7,0.00000459275,0.01701358],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9744945,"threshold_uncertainty_score":0.9985017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01719567399229465,"score_gpt":0.2560064446068901,"score_spread":0.2388107706145954,"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."}}