{"id":"W4409814214","doi":"10.1016/j.jht.2025.03.001","title":"A novel technique for digital assessment of hand volume","year":2025,"lang":"en","type":"article","venue":"Journal of Hand Therapy","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Volume (thermodynamics); Computer science; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001218283,0.0008085338,0.0005484006,0.00282533,0.0003873701,0.001318052,0.0008634235,0.001177844,0.01178687],"category_scores_gemma":[0.004048297,0.0004921476,0.0004599144,0.001531807,0.0004317984,0.002027917,0.001283879,0.001088929,0.002766997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002073893,"about_ca_system_score_gemma":0.0006004393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007709056,"about_ca_topic_score_gemma":0.001824844,"domain_scores_codex":[0.9988894,0.0002293202,0.00008555807,0.000253588,0.0004865693,0.00005558754],"domain_scores_gemma":[0.9970812,0.001418967,0.0001828673,0.0003452285,0.0008601329,0.0001117159],"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":[0.0009509833,0.0001821347,0.007769272,0.001028568,0.00009882585,0.0005706501,0.0002523719,0.0005710285,0.3330671,0.002531681,0.009307482,0.6436698],"study_design_scores_gemma":[0.0009512901,0.004171166,0.1220099,0.001394443,0.001250812,0.07697374,0.001336084,0.08840103,0.5500243,0.009941442,0.142578,0.0009677039],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06972075,0.007242155,0.8964579,0.001392096,0.001703271,0.0007178097,0.001997803,0.004414609,0.01635364],"genre_scores_gemma":[0.2155559,0.005048282,0.7608448,0.001179804,0.000897379,0.0007771343,0.0004808675,0.0006259403,0.01458994],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01178687,"threshold_uncertainty_score":0.03943104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04100121083130073,"score_gpt":0.403050018963964,"score_spread":0.3620488081326633,"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."}}