{"id":"W2317374686","doi":"10.1142/9789812702289_0044","title":"A NOVEL TACTILE SENSOR FOR USE IN MEDICAL IMGAING","year":2004,"lang":"en","type":"article","venue":"","topic":"Dental Research and COVID-19","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Tactile sensor; Computer science; Tactile display; Computer vision; Artificial intelligence; Robot","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":[0.0005183818,0.0005225061,0.0005764614,0.0005161616,0.0002932341,0.0007403666,0.001008463,0.00154942,0.005192956],"category_scores_gemma":[0.0007036676,0.000364297,0.0003518593,0.0003783391,0.0003312714,0.00146121,0.0008506658,0.0007170588,0.00182812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002801298,"about_ca_system_score_gemma":0.0003246583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001367151,"about_ca_topic_score_gemma":0.0003800466,"domain_scores_codex":[0.9994098,0.00006510661,0.00003040081,0.0001365555,0.0003036131,0.00005462251],"domain_scores_gemma":[0.9993628,0.0001571284,0.00009395424,0.00007108567,0.0002162592,0.00009885414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001247675,0.00004270301,0.0003156604,0.0001625068,0.000007441761,0.0002043859,0.00004592817,0.00006352938,0.9679863,0.0004923273,0.001171973,0.02938259],"study_design_scores_gemma":[0.00004547967,0.001231995,0.003839832,0.0000401004,0.00005160235,0.003809668,0.0001104688,0.00640298,0.9569983,0.0002798366,0.02712469,0.00006500779],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4263798,0.01460724,0.5215857,0.002948989,0.004096935,0.0005340532,0.0009428168,0.00424005,0.0246644],"genre_scores_gemma":[0.6995164,0.002485893,0.2664623,0.001970018,0.0004475395,0.0002116044,0.0003778283,0.000147658,0.02838071],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005192956,"threshold_uncertainty_score":0.01737219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06883314765445889,"score_gpt":0.3878361602555667,"score_spread":0.3190030126011077,"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."}}