{"id":"W2883063407","doi":"10.1177/2055668318777984","title":"Development of the circumduction metric for identification of cervical motion impairment","year":2018,"lang":"en","type":"article","venue":"Journal of Rehabilitation and Assistive Technologies Engineering","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Health Research Board","keywords":"Neck pain; Motion (physics); Medicine; Physical medicine and rehabilitation; Metric (unit); Identification (biology); Cervical spine; Physical therapy; Artificial intelligence; Computer science; Surgery; Pathology; Engineering","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":[0.001360517,0.0009174796,0.0004315476,0.002346828,0.0002925801,0.0007092881,0.0005668392,0.0004913093,0.001190936],"category_scores_gemma":[0.005635834,0.0001804848,0.0004204273,0.0009719539,0.0003665209,0.0008499585,0.000859782,0.0003529147,0.0003940413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005507961,"about_ca_system_score_gemma":0.0008990993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003780724,"about_ca_topic_score_gemma":0.003195629,"domain_scores_codex":[0.999077,0.0002248429,0.00008888066,0.000169669,0.0003917012,0.00004791241],"domain_scores_gemma":[0.9980863,0.0004948677,0.0003531492,0.0001391596,0.0008184052,0.0001081434],"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":[0.0006993858,0.0003063668,0.1861875,0.0007606784,0.0002824088,0.0003162065,0.0008589238,0.04969459,0.08245587,0.006564764,0.005849439,0.6660239],"study_design_scores_gemma":[0.00006757184,0.002062061,0.2483586,0.0002082717,0.0001859253,0.001094161,0.0006586094,0.7082449,0.02694177,0.00394502,0.008072172,0.0001609683],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3630863,0.00177464,0.6268762,0.0004459911,0.0001764736,0.0007791291,0.001191496,0.0007795631,0.004890077],"genre_scores_gemma":[0.8281865,0.000557287,0.1688882,0.00006785832,0.00004559077,0.0004775373,0.0007512398,0.00003107109,0.0009947229],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003780724,"threshold_uncertainty_score":0.007517457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009302198009688338,"score_gpt":0.2641317994263861,"score_spread":0.2548296014166977,"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."}}