{"id":"W3215276542","doi":"10.2196/29758","title":"Using Methods From Computational Decision-making to Predict Nonadherence to Fitness Goals: Protocol for an Observational Study","year":2021,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Physical Activity and Health","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Irish Research Council","keywords":"Observational study; Psychology; Applied psychology; Computational model; Computer science; Gerontology; Medicine; Artificial intelligence","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":[0.03567041,0.003245007,0.004854175,0.002399888,0.003871982,0.002891795,0.002526776,0.005107663,0.0485937],"category_scores_gemma":[0.06489687,0.00194053,0.005480852,0.002886364,0.002792534,0.002032489,0.002394191,0.008747356,0.009545207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005426778,"about_ca_system_score_gemma":0.02215146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0053526,"about_ca_topic_score_gemma":0.005574295,"domain_scores_codex":[0.9836485,0.008143757,0.003279267,0.001350498,0.002229911,0.001348008],"domain_scores_gemma":[0.9600429,0.01262252,0.005020035,0.00768528,0.01252787,0.00210136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.3650221,0.05580619,0.008200497,0.08392717,0.004463694,0.001907922,0.003949913,0.01487802,0.005205797,0.02260268,0.1831915,0.2508444],"study_design_scores_gemma":[0.3838069,0.07692453,0.02744936,0.04852465,0.002526131,0.0004730129,0.002590371,0.01244031,0.005713039,0.02410781,0.4144233,0.001020671],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.001736137,0.0002689454,0.003321458,0.0002549012,0.0004970882,0.9903695,0.002549064,0.0000862895,0.0009166506],"genre_scores_gemma":[0.0006440908,0.00006532991,0.001085308,0.00006458074,0.00001965256,0.9978549,0.0001461193,0.0000036507,0.0001163428],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.0485937,"threshold_uncertainty_score":0.1886454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.883531410794277,"score_gpt":0.7584668393553048,"score_spread":0.1250645714389722,"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."}}