{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003565047,0.001765886,0.001132922,0.0009570367,0.0003565414,0.001554836,0.001467541,0.001504432,0.1760604],"category_scores_gemma":[0.001374756,0.0004936285,0.0003391975,0.0007331417,0.0002098667,0.0009976266,0.001431286,0.0006554701,0.0514771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002762743,"about_ca_system_score_gemma":0.00042947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001366646,"about_ca_topic_score_gemma":0.001504782,"domain_scores_codex":[0.9994972,0.00003902055,0.00002761546,0.0001711299,0.0002123301,0.00005267657],"domain_scores_gemma":[0.9995661,0.00008003012,0.00002269019,0.000101593,0.0001584238,0.0000710901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001011023,0.000225619,0.001075292,0.001623328,0.00006759054,0.001228474,0.0003091484,0.0007098343,0.204978,0.006420128,0.3112335,0.471118],"study_design_scores_gemma":[0.0003156385,0.0004872865,0.006885568,0.0003803462,0.0001462455,0.004564208,0.0001034156,0.02084544,0.1833534,0.002837307,0.7799174,0.000163733],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0300484,0.00410695,0.4573654,0.001388766,0.002869838,0.002710017,0.03153419,0.1883802,0.2815963],"genre_scores_gemma":[0.2085342,0.003131469,0.3236519,0.005369627,0.001056914,0.003716504,0.02157615,0.008127613,0.4248355],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1760604,"threshold_uncertainty_score":0.5889808,"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."}}