{"id":"W2022480272","doi":"10.5993/ajhb.26.4.1","title":"Using Marketing Research Methods to Evaluate a Stage-Specific Intervention","year":2002,"lang":"en","type":"article","venue":"American Journal of Health Behavior","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Heart and Stroke Foundation","funders":"University of Ottawa","keywords":"Mass media; Intervention (counseling); Health promotion; Promotion (chess); Social marketing; Market segmentation; Control (management); Direct mail; Marketing; Resource (disambiguation); Psychology; Advertising; Applied psychology; Medicine; Medical education; Business; Computer science; Nursing; Public health; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05354515,0.001819594,0.0017009,0.00327056,0.0009420805,0.001629688,0.001100086,0.001888399,0.0115758],"category_scores_gemma":[0.06951305,0.0006341098,0.001628867,0.00214963,0.001116989,0.001906958,0.00116181,0.001144461,0.001192526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002440806,"about_ca_system_score_gemma":0.003748741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001091613,"about_ca_topic_score_gemma":0.001713106,"domain_scores_codex":[0.9352428,0.05413523,0.00270738,0.002440039,0.004828217,0.0006463475],"domain_scores_gemma":[0.9352989,0.04911832,0.007107317,0.002954811,0.004981908,0.0005387099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.02227866,0.04292474,0.03015566,0.01468202,0.003094062,0.000216059,0.004267336,0.00668828,0.01956486,0.01699914,0.003181993,0.8359471],"study_design_scores_gemma":[0.04917293,0.6210904,0.1565536,0.00696202,0.01025916,0.000430891,0.005587816,0.02880924,0.05023768,0.02790564,0.04249474,0.0004959294],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3614926,0.003920486,0.2417886,0.001158477,0.001090828,0.3532102,0.002279218,0.0004728098,0.03458678],"genre_scores_gemma":[0.3136709,0.002041837,0.3668429,0.0008132347,0.0003337241,0.3123268,0.0003505197,0.0000606923,0.003559488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05354515,"threshold_uncertainty_score":0.2831772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5612824578189622,"score_gpt":0.6467607720057698,"score_spread":0.08547831418680751,"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."}}