{"id":"W3135189973","doi":"10.58729/1941-6679.1460","title":"The Design, Development and Validation of a Persuasive Content Generator","year":2021,"lang":"en","type":"article","venue":"Journal of international technology and information management","topic":"Media Influence and Health","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Yale University","keywords":"Computer science; Persuasive technology; Generator (circuit theory); Social media; Domain (mathematical analysis); Content (measure theory); User-generated content; Human–computer interaction; World Wide Web; Multimedia; Internet privacy; Persuasion; Psychology; Social psychology; Power (physics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003231372,0.00004047842,0.0000695506,0.0002289707,0.000142749,0.00006467236,0.00007958463,0.0000217803,0.00004536044],"category_scores_gemma":[0.00006390953,0.00002679221,0.00001409366,0.00003262179,0.00009430497,0.000541435,0.00004377527,0.0000664297,0.000003130907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002475227,"about_ca_system_score_gemma":0.00004059821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.726908e-7,"about_ca_topic_score_gemma":0.000002635239,"domain_scores_codex":[0.999368,0.00001220694,0.000389077,0.00002782516,0.0001523047,0.00005064124],"domain_scores_gemma":[0.9990617,0.00003091067,0.0003232831,0.00003820708,0.0005292095,0.00001668668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003615036,0.00001721992,0.0004916817,0.00003689764,0.0001606274,0.000003884226,0.00546798,0.00001341882,0.00006597182,0.923048,0.0008657125,0.06979246],"study_design_scores_gemma":[0.0006196724,0.0001028105,0.001313659,0.00008474558,0.00002182762,0.00004091718,0.02838928,0.0001110152,0.01434017,0.003871711,0.9510453,0.00005891618],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9478173,0.001410229,0.01730418,0.0203059,0.001338092,0.000295369,0.000005836867,0.00001756517,0.01150557],"genre_scores_gemma":[0.9828181,0.004572758,0.01038768,0.001128031,0.0001134394,0.0000177843,0.000008608526,0.000003264623,0.0009502961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9501796,"threshold_uncertainty_score":0.1097925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04690145477673699,"score_gpt":0.2530420961718277,"score_spread":0.2061406413950907,"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."}}