{"id":"W2500717563","doi":"10.2522/ptj.20160089","title":"Measuring Pain for Patients Seeking Physical Therapy: Can Functional Magnetic Resonance Imaging (fMRI) Help?","year":2016,"lang":"en","type":"article","venue":"Physical Therapy","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Center for Complementary and Integrative Health; National Institutes of Health","keywords":"Functional magnetic resonance imaging; Magnetic resonance imaging; Functional imaging; Medicine; Psychology; Physical medicine and rehabilitation; Neuroscience; Radiology","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":[0.000153958,0.0002142671,0.0002794517,0.00003919727,0.0001829176,0.00001479218,0.0001061961,0.00002918533,0.00001923015],"category_scores_gemma":[0.00005609553,0.0001376167,0.000199864,0.0001468983,0.00009806902,0.00008942669,0.00002108526,0.0001316087,0.000009333477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000946794,"about_ca_system_score_gemma":0.00003517632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006678023,"about_ca_topic_score_gemma":4.459905e-7,"domain_scores_codex":[0.998753,0.00005432016,0.000159607,0.0003978873,0.0002931374,0.0003420804],"domain_scores_gemma":[0.9989575,0.000364102,0.00006975805,0.0003250935,0.0001716969,0.0001118576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003105116,0.0007449172,0.003940896,0.000006132481,0.000007598902,5.52756e-7,0.0001338029,0.000002054557,0.123016,0.001707681,0.0005646494,0.8695652],"study_design_scores_gemma":[0.02139164,0.004496617,0.156233,0.0007444627,0.00007184915,0.000007526651,0.0001194957,0.01538295,0.1940402,0.1624996,0.4434027,0.001609913],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7427527,0.0009840463,0.2457702,0.007131886,0.0001033989,0.002225167,0.00007820771,0.0005023335,0.0004520833],"genre_scores_gemma":[0.9939903,0.0002339346,0.002582217,0.00110673,0.001008567,0.0007171108,0.00002120437,0.00006235715,0.0002775548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8679553,"threshold_uncertainty_score":0.5611846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03787790819154124,"score_gpt":0.295840141345373,"score_spread":0.2579622331538317,"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."}}