{"id":"W4408406553","doi":"10.1177/20552076251325954","title":"Distinguishing threshold shoulder range of motion measures collected by a breast cancer smartphone application: Assessment in healthy adults","year":2025,"lang":"en","type":"article","venue":"Digital Health","topic":"Shoulder Injury and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Royal University Hospital Foundation","keywords":"Breast cancer; Medicine; Range of motion; Physical medicine and rehabilitation; Reliability (semiconductor); Physical therapy; Intraclass correlation; Interclass correlation; Functional movement; Cancer; Internal medicine","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":[0.001115628,0.0003921967,0.0002965395,0.0005386962,0.0001897409,0.0004162786,0.0002609038,0.0005710633,0.001022202],"category_scores_gemma":[0.004442276,0.0002180264,0.00029377,0.0002283734,0.000201114,0.0003733414,0.0005866983,0.0002563836,0.0004683323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001033746,"about_ca_system_score_gemma":0.0001453041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009111476,"about_ca_topic_score_gemma":0.00234748,"domain_scores_codex":[0.9994186,0.0001641904,0.00008207972,0.0001457477,0.0001403335,0.00004908515],"domain_scores_gemma":[0.9985441,0.0003972013,0.0004215485,0.00006906514,0.0004187501,0.0001493732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009080541,0.0002733723,0.9478666,0.0002647301,0.0001224899,0.0002521019,0.001128958,0.0001313677,0.01321745,0.00003192468,0.0004572495,0.03534561],"study_design_scores_gemma":[0.000019704,0.001213548,0.9959409,0.00002311831,0.00004124099,0.0006168361,0.0003559311,0.0005146758,0.0009713855,0.00002591973,0.0002683386,0.000008474357],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982565,0.000227748,0.0007211504,0.00002852749,0.000008218417,0.00007074702,0.0001840921,0.00001415926,0.0004888197],"genre_scores_gemma":[0.9974902,0.0001247746,0.001779542,0.00005240366,0.00001007566,0.00008986922,0.0002014716,0.00000311804,0.0002485172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001115628,"threshold_uncertainty_score":0.005900085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01932988165327278,"score_gpt":0.3563671661558992,"score_spread":0.3370372845026264,"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."}}