{"id":"W3213181825","doi":"10.5267/j.ijdns.2021.9.003","title":"The effects of perceived ease of use, usefulness, enjoyment and intention to use online platforms on behavioral intention in online movie watching during the pandemic era","year":2021,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Psychology; Technology acceptance model; Pandemic; Advertising; Coronavirus disease 2019 (COVID-19); The Internet; Movie theater; Internet privacy; Social psychology; Business; Computer science; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001640363,0.0000632978,0.0001275627,0.00007712891,0.0002366981,0.0002388779,0.0005896183,0.00002685222,0.000001612653],"category_scores_gemma":[0.003129032,0.00003918945,0.00003247398,0.0002768924,0.000422615,0.001168382,0.00031856,0.0001894498,7.536996e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007614428,"about_ca_system_score_gemma":0.0001546757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005417225,"about_ca_topic_score_gemma":0.00395345,"domain_scores_codex":[0.9985576,0.00009600084,0.00035484,0.0001450939,0.0006921676,0.0001542674],"domain_scores_gemma":[0.9981933,0.0009509723,0.0002634886,0.0001207185,0.0003914848,0.00008006945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005251782,0.0005831424,0.8130004,0.00002723886,0.00005850283,0.00004920936,0.009879212,0.0001473663,0.006934638,0.001600422,0.00007408838,0.1671205],"study_design_scores_gemma":[0.0003812714,0.0001089955,0.9927546,0.0009605389,0.0000161231,0.00001108898,0.004382837,0.0003368747,0.00009858991,0.0006207403,0.0002686966,0.00005957783],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983223,0.00008781437,0.0000564274,0.0005486468,0.0008453586,0.00008862354,0.00003769435,0.000002511109,0.00001058601],"genre_scores_gemma":[0.9979906,0.001467449,0.000285506,0.00006706311,0.0001266102,8.851371e-7,0.00001184468,0.000002893803,0.00004712336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1797542,"threshold_uncertainty_score":0.374597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05347044339377725,"score_gpt":0.3542861308605711,"score_spread":0.3008156874667938,"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."}}