{"id":"W2785795619","doi":"10.2196/resprot.9096","title":"Increasing Physical Activity Amongst Overweight and Obese Cancer Survivors Using an Alexa-Based Intelligent Agent for Patient Coaching: Protocol for the Physical Activity by Technology Help (PATH) Trial","year":2018,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Cancer survivorship and care","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Johns Hopkins University","keywords":"Coaching; Health coaching; Psychological intervention; Randomized controlled trial; Intervention (counseling); Overweight; Protocol (science); mHealth; Physical therapy; Computer science; Medicine; Psychology; Nursing; Alternative medicine; Obesity","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01612482,0.0039849,0.005851095,0.001644689,0.002888974,0.003149927,0.002269558,0.004773424,0.05535331],"category_scores_gemma":[0.01335362,0.00198617,0.004257416,0.002064476,0.002233467,0.002096274,0.00184975,0.005998402,0.0117211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003047254,"about_ca_system_score_gemma":0.01048141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002409891,"about_ca_topic_score_gemma":0.004001739,"domain_scores_codex":[0.9916103,0.004638513,0.0009849237,0.0008217285,0.0008101545,0.001134321],"domain_scores_gemma":[0.9953962,0.0008885373,0.0008530503,0.0008005989,0.001322102,0.0007394422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.8683691,0.02981145,0.001506997,0.0140186,0.001651268,0.0005099951,0.0006053907,0.002650052,0.004030811,0.003585064,0.03165472,0.04160646],"study_design_scores_gemma":[0.8714214,0.04951313,0.004715617,0.00343947,0.001107248,0.0001247645,0.0002729029,0.001868168,0.001569895,0.00321397,0.06258712,0.000166292],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.002972033,0.0001805562,0.001151181,0.0001855773,0.000236316,0.9928997,0.001264976,0.00007378306,0.001036026],"genre_scores_gemma":[0.00162761,0.00009237028,0.0009612889,0.0001012561,0.0000236723,0.9966298,0.0001537485,0.000004686482,0.0004056525],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.05535331,"threshold_uncertainty_score":0.1851753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2229834761308055,"score_gpt":0.5362384027034443,"score_spread":0.3132549265726387,"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."}}