{"id":"W1976361647","doi":"10.1145/1979742.1979501","title":"Interactive therapy gloves","year":2011,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Emily Carr University of Art and Design","funders":"","keywords":"Computer science","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":[0.00007691047,0.0000828545,0.00006986813,0.0001470854,0.00004965242,0.0000319748,0.000580252,0.00004835599,0.0005238809],"category_scores_gemma":[0.00001701244,0.00006530967,0.00002738013,0.0002567714,0.00005043343,0.0009122498,0.0001220281,0.0001523107,0.0005369111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003146035,"about_ca_system_score_gemma":0.00001338991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003657185,"about_ca_topic_score_gemma":0.000006464058,"domain_scores_codex":[0.9994359,0.00002446271,0.0001149309,0.000215496,0.0000731849,0.0001360342],"domain_scores_gemma":[0.9994233,0.00002664131,0.00006372949,0.0003478825,0.0001242652,0.0000141321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001512025,0.00009404487,0.0005159606,4.472249e-7,0.00002972493,0.00000846144,0.002585007,3.352829e-8,0.007387223,0.9421412,0.001543347,0.04567941],"study_design_scores_gemma":[0.0004632855,0.0004735475,0.02403019,0.00001105238,0.00000135878,0.00006619437,0.0004247957,0.001255793,0.7814477,0.1782426,0.01327225,0.0003111749],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1044793,0.00001461779,0.5275648,0.0004585516,0.0006602835,0.0001030392,1.797497e-7,0.0005521439,0.3661671],"genre_scores_gemma":[0.9391606,0.000004568789,0.05897053,0.0008686254,0.00001984298,0.00001223071,2.760176e-7,0.000004367836,0.0009589603],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8346813,"threshold_uncertainty_score":0.6901085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0652296434740781,"score_gpt":0.2771971126127557,"score_spread":0.2119674691386776,"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."}}