{"id":"W2034324194","doi":"10.2196/resprot.2267","title":"Improving Primary Health Care in Chronic Musculoskeletal Conditions through Digital Media: The PEOPLE Meeting","year":2013,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Musculoskeletal Disorders and Rehabilitation","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Arthritis Research Centre of Canada","funders":"Canadian Institutes of Health Research","keywords":"Health care; Medicine; General partnership; Digital health; Digital media; Nursing; Social media; Medical education; Business; World Wide Web; Computer science; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0007916165,0.0001889068,0.0003419874,0.0001920194,0.0004389865,0.0001838123,0.0002515517,0.0001244996,0.0002468675],"category_scores_gemma":[0.0005646746,0.0001225385,0.0001785022,0.0007935859,0.0003758951,0.000616236,0.000215516,0.0009578753,0.0001909734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001050623,"about_ca_system_score_gemma":0.00143219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001035659,"about_ca_topic_score_gemma":0.0008294549,"domain_scores_codex":[0.9968369,0.0003948442,0.0004964945,0.0004474177,0.0009729305,0.000851436],"domain_scores_gemma":[0.9981983,0.0005414332,0.0001061154,0.0005408669,0.0004232053,0.0001900519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005126954,0.003006551,0.03035022,0.04213021,0.0001281779,0.00003303893,0.06760881,0.00006188972,0.02313208,0.003732506,0.06957548,0.7597284],"study_design_scores_gemma":[0.01357286,0.0152162,0.8131583,0.009260952,0.00001063494,0.00003117621,0.03721262,0.0006420354,0.0002387014,0.005434866,0.1043218,0.0008998408],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.1686541,0.0003352527,0.00006951569,0.01374299,0.0000189771,0.8053582,0.00003549379,0.0001225711,0.01166289],"genre_scores_gemma":[0.3136775,0.000005255962,0.0001913309,0.0001349843,0.0002077114,0.6854494,0.0001758764,0.00003444228,0.0001235343],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.7828081,"threshold_uncertainty_score":0.4996977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04653689062049755,"score_gpt":0.4663659100500807,"score_spread":0.4198290194295832,"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."}}