{"id":"W4380878230","doi":"10.1007/978-3-031-35836-4_29","title":"Prototyping of Haptic Datagloves for Deafblind People","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes on data engineering and communications technologies","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Haptic technology; Wearable computer; Computer science; Actuator; Interface (matter); Human–computer interaction; Embedded system; Artificial intelligence","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":[0.00004952795,0.0002383949,0.0002913342,0.0003625543,0.0001734781,0.00005435762,0.001952079,0.0002877282,0.000003681271],"category_scores_gemma":[0.00323888,0.0002176831,0.00004897223,0.000125861,0.0001470286,0.0001299003,0.00106017,0.0006479833,0.00001299062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001785319,"about_ca_system_score_gemma":0.0000229314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007428314,"about_ca_topic_score_gemma":0.00005872627,"domain_scores_codex":[0.9990581,0.000007173975,0.0002575738,0.0004125009,0.0001061079,0.0001585017],"domain_scores_gemma":[0.9933289,0.002502364,0.0001506374,0.003963104,0.00003807853,0.00001686036],"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":[0.00009468327,0.0001497674,0.000008290706,0.00120918,0.0002329908,0.000004721958,0.0003630465,0.003154904,0.0794022,0.6338446,0.001155884,0.2803798],"study_design_scores_gemma":[0.0004625904,0.0004502212,0.00001465798,0.001762369,0.0002693508,0.00005790799,0.0001309691,0.09723569,0.1022925,0.03722003,0.7589173,0.001186411],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00600658,0.02633021,0.5617511,0.1110308,0.004978303,0.03832026,0.1107846,0.05503104,0.08576707],"genre_scores_gemma":[0.9047273,0.03805128,0.04402554,0.0002235629,0.0001263155,0.0009390846,0.003475023,0.0004288093,0.008003024],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8987208,"threshold_uncertainty_score":0.8876859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1045880916139626,"score_gpt":0.3100837510076412,"score_spread":0.2054956593936786,"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."}}