{"id":"W4416903783","doi":"10.2196/84225","title":"Move – Mix It Up – Make It Fun: Summarizing and Visualizing Physical Activity Guidance","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Infographic; Slogan; Physical activity; Visualization","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001387231,0.0001994035,0.0002736094,0.0008336169,0.0006931282,0.0003643784,0.0009069992,0.0001452351,0.00001076149],"category_scores_gemma":[0.0002701888,0.0001943487,0.00005984691,0.00194847,0.0004451076,0.001827003,0.001574609,0.001317079,0.000122286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003686777,"about_ca_system_score_gemma":0.0001434129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003657775,"about_ca_topic_score_gemma":0.00002383803,"domain_scores_codex":[0.9974582,0.000419503,0.0002518089,0.0005315984,0.0006467056,0.0006921956],"domain_scores_gemma":[0.9977953,0.0007016627,0.0001273301,0.0005920875,0.0007256886,0.00005794072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001258445,0.0004720393,0.0005351904,0.000274509,0.000133129,0.00002455911,0.01813603,0.000003613868,0.04459782,0.6190311,0.0400344,0.2766317],"study_design_scores_gemma":[0.002541841,0.001150616,0.07178706,0.001411572,0.00001207363,0.00005192165,0.008525618,0.2820342,0.4571209,0.0608304,0.1133608,0.001173026],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8279206,0.00005339547,0.1200665,0.0124115,0.0005217243,0.0007399716,0.000008323458,0.0002609702,0.03801706],"genre_scores_gemma":[0.9964206,0.0000141995,0.0008012402,0.0003059827,0.00005381476,0.0002015587,0.000002340805,0.0000101331,0.002190158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5582007,"threshold_uncertainty_score":0.7925311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07755776322040685,"score_gpt":0.4626076142611759,"score_spread":0.3850498510407691,"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."}}