{"id":"W2075688392","doi":"10.1007/s11042-012-1137-6","title":"Design and implementation of a system for body posture recognition","year":2012,"lang":"en","type":"article","venue":"Multimedia Tools and Applications","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Sitting; Context (archaeology); Identity (music); Human–computer interaction; Body posture; Physical medicine and rehabilitation; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0003174153,0.00007455879,0.0001145976,0.00004998806,0.00009792355,0.00005446573,0.00007715142,0.00004804223,0.000001789865],"category_scores_gemma":[0.000007912819,0.00006606839,0.00001947797,0.0001137513,0.00001920904,0.0003332093,0.00002749278,0.00002989251,0.000007657053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000119044,"about_ca_system_score_gemma":0.00001633478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001002314,"about_ca_topic_score_gemma":0.00000134439,"domain_scores_codex":[0.9993904,0.00003957829,0.000199363,0.0001567982,0.00007896765,0.0001349543],"domain_scores_gemma":[0.9992917,0.0002672861,0.0001161797,0.0001298675,0.0001087366,0.00008623536],"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":[0.000005630211,0.00005527554,0.001058879,0.0002414727,0.00002740905,6.516233e-8,0.001602026,9.533472e-7,0.01772119,0.004729833,0.0001771519,0.9743801],"study_design_scores_gemma":[0.01667101,0.001257138,0.2188654,0.0009063306,0.0007379418,0.0005464627,0.01652331,0.09514263,0.497326,0.00747217,0.141403,0.003148483],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007919286,0.0003240099,0.9896582,0.0001387476,0.00006684045,0.001664656,0.00009897656,0.00005498249,0.0000742655],"genre_scores_gemma":[0.8406534,0.00003259443,0.1572696,0.0000308031,0.0001543063,0.001752151,0.00009191747,0.000006303049,0.000008887504],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9712316,"threshold_uncertainty_score":0.2694191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04516898883011084,"score_gpt":0.3020386006034517,"score_spread":0.2568696117733408,"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."}}