{"id":"W4386629052","doi":"10.33093/jiwe.2023.2.2.6","title":"AIRA: An Intelligent Recommendation Agent Application for Movies","year":2023,"lang":"en","type":"article","venue":"Journal of Informatics and Web Engineering","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Drama; Limiting; Computer science; Psychology; Content (measure theory); Multimedia; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006208955,0.001012806,0.0007089967,0.0009571598,0.0004693956,0.0008037554,0.001155752,0.001022152,0.0273514],"category_scores_gemma":[0.002220311,0.0004793523,0.0005810626,0.0004653674,0.00009053402,0.001085623,0.0007942697,0.0008326446,0.01224053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002719972,"about_ca_system_score_gemma":0.00052569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005217081,"about_ca_topic_score_gemma":0.009043382,"domain_scores_codex":[0.9996581,0.00006024228,0.00004467375,0.00006892619,0.0001416055,0.00002642814],"domain_scores_gemma":[0.9992924,0.0002292355,0.0000566645,0.0001030771,0.0002284449,0.00009011268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001717998,0.001175689,0.009087985,0.001633878,0.0003748726,0.001088167,0.0005933889,0.002446996,0.02968668,0.002593881,0.2688972,0.6807032],"study_design_scores_gemma":[0.0008761602,0.001379677,0.0274941,0.0004696255,0.0005984771,0.002972241,0.0004250558,0.1536182,0.02975909,0.003952843,0.7780282,0.0004263761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.07636064,0.006006598,0.381019,0.001437139,0.001017248,0.004445807,0.01702228,0.4368721,0.07581919],"genre_scores_gemma":[0.2330645,0.004865886,0.5333348,0.001517992,0.0003283294,0.003556808,0.02746898,0.004940053,0.1909227],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0273514,"threshold_uncertainty_score":0.09149957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02233319042885703,"score_gpt":0.2887973887008897,"score_spread":0.2664641982720327,"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."}}