{"id":"W4313379194","doi":"10.2196/41239","title":"Selection of and Response to Physical Activity–Based Social Comparisons in a Digital Environment: Series of Daily Assessment Studies","year":2023,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Physical Activity and Health","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Novo Nordisk Fonden; National Heart, Lung, and Blood Institute; Novo Nordisk; National Institutes of Health; National Science Foundation","keywords":"Selection (genetic algorithm); Series (stratigraphy); Physical activity; Computer science; Psychology; Artificial intelligence; Physical medicine and rehabilitation; Biology; Medicine","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":[0.005801143,0.000543451,0.0006710434,0.001743741,0.001244177,0.001067663,0.0006779744,0.0007916662,0.001015981],"category_scores_gemma":[0.01391432,0.0004147627,0.0008303701,0.0008234873,0.0009017603,0.001027762,0.001835943,0.0008267617,0.0003903891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007074522,"about_ca_system_score_gemma":0.0006639729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001608374,"about_ca_topic_score_gemma":0.004756556,"domain_scores_codex":[0.9970343,0.001188164,0.0003847186,0.0005577828,0.0006384868,0.0001965663],"domain_scores_gemma":[0.9867586,0.003994947,0.003092566,0.001426146,0.003379065,0.001348651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001032226,0.008755469,0.8700086,0.000415828,0.0003129554,0.0002464103,0.0318387,0.0003366012,0.005085981,0.0001216023,0.0006619095,0.08118375],"study_design_scores_gemma":[0.00005329478,0.003433811,0.9872447,0.00003739261,0.0000591942,0.0001791579,0.005651169,0.0004784972,0.001539186,0.0001320691,0.001134846,0.00005668084],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985402,0.00004254992,0.0005976745,0.000008404056,0.000003276145,0.0003182885,0.00005252751,0.00001157568,0.0004255544],"genre_scores_gemma":[0.9947614,0.00008030225,0.003131898,0.0000342923,0.0000103532,0.001156169,0.0002731911,0.000007318652,0.0005450785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005801143,"threshold_uncertainty_score":0.03067976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1081802068188072,"score_gpt":0.4204960000014561,"score_spread":0.3123157931826489,"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."}}