{"id":"W2018684290","doi":"10.1080/10810730701854086","title":"Getting to Know the Competition: A Content Analysis of Publicly and Corporate Funded Physical Activity Advertisements","year":2008,"lang":"en","type":"article","venue":"Journal of Health Communication","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Victoria; University of Alberta","funders":"","keywords":"Advertising; Competition (biology); Population; Promotion (chess); Public health; Product (mathematics); Content analysis; Foundation (evidence); Health promotion; Physical activity; Business; Psychology; Medicine; Marketing; Sociology; Political science; Environmental health; Law; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001194338,0.00006953523,0.0003542922,0.0002264169,0.0003387458,0.00001069867,0.0002579499,0.00003162323,0.00005988745],"category_scores_gemma":[0.00004260255,0.00005204565,0.0001470036,0.0005128708,0.00009359873,0.0001464455,0.00006293519,0.0002934035,0.00000452351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009875493,"about_ca_system_score_gemma":0.00008554036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001130935,"about_ca_topic_score_gemma":0.0003654026,"domain_scores_codex":[0.9981123,0.0008275585,0.0006244638,0.00008290635,0.0001960664,0.0001566866],"domain_scores_gemma":[0.9973384,0.0001588141,0.001558384,0.0004280717,0.0003758132,0.0001405164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001187692,0.007371969,0.4736063,0.0001340665,0.001564207,0.000007607782,0.02404867,0.0001139124,0.001464139,0.01796401,0.01451168,0.4580258],"study_design_scores_gemma":[0.0004651357,0.0005389284,0.9962577,0.00008740189,0.0001141868,0.0000230537,0.0007330047,0.0002999408,0.00002257012,0.00005782851,0.001357047,0.00004318242],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803171,0.001302664,0.0009362752,0.01692839,0.0001023586,0.0002161212,0.00001220998,0.000005682838,0.0001792401],"genre_scores_gemma":[0.998399,0.0003283785,0.000502071,0.0006390837,0.00001960182,0.000013038,0.00000856452,0.000005091536,0.00008512475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5226514,"threshold_uncertainty_score":0.2605393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3059411443351698,"score_gpt":0.4538852533707273,"score_spread":0.1479441090355575,"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."}}