{"id":"W2029068943","doi":"10.1007/pl00021292","title":"Computer Measurement of Oral Movement in Swallowing","year":2001,"lang":"en","type":"article","venue":"Dysphagia","topic":"Dysphagia Assessment and Management","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Artificial intelligence; Computer vision; Computer science; Tracking (education); Kinematics; Pixel; Template matching; Frame (networking); Pattern recognition (psychology); Image (mathematics); Physics","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":[0.0007015992,0.0003197899,0.0004409027,0.001668997,0.0002404949,0.0006196004,0.0002977665,0.000573113,0.005168631],"category_scores_gemma":[0.005070603,0.0001955249,0.0002023369,0.00114298,0.0002815588,0.0004252661,0.0004496361,0.0003867576,0.0007530144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003139635,"about_ca_system_score_gemma":0.0003704892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005815866,"about_ca_topic_score_gemma":0.006093315,"domain_scores_codex":[0.9991753,0.0003931106,0.00006335572,0.0001108442,0.000213047,0.00004436676],"domain_scores_gemma":[0.9975193,0.001737315,0.0000823413,0.00009485934,0.0004774608,0.00008874979],"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":[0.009307144,0.0009989218,0.1338384,0.0008208776,0.0001762985,0.000419106,0.001280378,0.004841825,0.0936954,0.001566728,0.007479959,0.745575],"study_design_scores_gemma":[0.0007758579,0.004782906,0.831243,0.0003287822,0.0004266584,0.004461189,0.001088773,0.09361914,0.04937696,0.001525184,0.01219532,0.0001762595],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9202795,0.002635269,0.05551458,0.000360451,0.0003052437,0.0007394895,0.0018555,0.001356956,0.01695293],"genre_scores_gemma":[0.9653578,0.0009152858,0.02709078,0.000166866,0.00008364743,0.0004851118,0.0004428537,0.00009314776,0.005364608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005815866,"threshold_uncertainty_score":0.01729077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07049070869099705,"score_gpt":0.3835702912279934,"score_spread":0.3130795825369964,"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."}}