{"id":"W2901339290","doi":"10.2196/12428","title":"Website Analytics of a Google Ads Campaign for a Men’s Mental Health Website: Comparative Analysis","year":2018,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Movember Foundation","keywords":"Mental health; Analytics; Medicine; Promotion (chess); Internet privacy; Computer science; Political science; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002616298,0.0003155241,0.0005213477,0.005259465,0.0008219469,0.001708957,0.0004638521,0.0005171768,0.004361322],"category_scores_gemma":[0.01015885,0.0002436653,0.001393901,0.003694395,0.0005361803,0.001998225,0.0009874658,0.0006684284,0.0006881672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001654171,"about_ca_system_score_gemma":0.0009148804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01368583,"about_ca_topic_score_gemma":0.01961614,"domain_scores_codex":[0.9979742,0.0007155315,0.0001743293,0.0002138322,0.0006604373,0.0002617413],"domain_scores_gemma":[0.9849046,0.007098542,0.003228063,0.0003881141,0.003307392,0.001073263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003028327,0.003464533,0.9157511,0.001306683,0.0006860433,0.0003850662,0.01888896,0.0001956678,0.0005218152,0.0005000329,0.003015619,0.05225617],"study_design_scores_gemma":[0.00004325304,0.001517172,0.9819927,0.000119523,0.000262019,0.000119546,0.01361017,0.0004503676,0.000198349,0.00003938256,0.001620614,0.00002690513],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965739,0.0002418834,0.00008021874,0.00004808456,0.000007180745,0.0001972665,0.0007961906,0.00001198376,0.002043325],"genre_scores_gemma":[0.9961514,0.0003837329,0.0002863821,0.00005972915,0.00002831503,0.0002348761,0.00135786,0.00001478406,0.001482942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01368583,"threshold_uncertainty_score":0.02721232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07231657391408892,"score_gpt":0.50362505217347,"score_spread":0.4313084782593811,"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."}}