{"id":"W2137686771","doi":"10.5539/ass.v9n8p107","title":"New Audience Message Absorption via Audio Visual Technology","year":2013,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multimedia; Interactivity; Meaning (existential); Conceptualization; Computer science; Relevance (law); Respondent; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002597615,0.0003264828,0.0002329379,0.0007390631,0.0008430407,0.0028466,0.0005638553,0.0006906136,0.008868526],"category_scores_gemma":[0.00857373,0.0002217515,0.0004202534,0.0003519882,0.001439434,0.002181512,0.002146628,0.001213215,0.0007551209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004751511,"about_ca_system_score_gemma":0.0005944935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003063243,"about_ca_topic_score_gemma":0.00034655,"domain_scores_codex":[0.9969605,0.001766442,0.00008196064,0.0002376131,0.0007487856,0.0002047632],"domain_scores_gemma":[0.9909333,0.00722288,0.000568188,0.0004429748,0.0005644286,0.0002682008],"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":[0.00133464,0.005256728,0.03188457,0.003084071,0.00009503902,0.001598967,0.362727,0.0008533786,0.173081,0.03909131,0.003977339,0.3770159],"study_design_scores_gemma":[0.0007283713,0.01605733,0.2313724,0.002162503,0.0006408847,0.002957939,0.3512672,0.007755591,0.164483,0.04463007,0.1776084,0.0003363623],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9133779,0.0001971408,0.01194746,0.000918794,0.000061856,0.0005006053,0.00005160737,0.0001149537,0.07282975],"genre_scores_gemma":[0.9828691,0.0002223963,0.007579625,0.0002036511,0.00003072338,0.0003592566,0.00002666805,0.00002049669,0.008688176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008868526,"threshold_uncertainty_score":0.02966815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456633699239264,"score_gpt":0.3191619093515409,"score_spread":0.3045955723591483,"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."}}