{"id":"W4319431216","doi":"10.1109/icacrs55517.2022.10029277","title":"Prediction of YouTube View Count using Supervised and Ensemble Machine Learning Techniques","year":2022,"lang":"en","type":"article","venue":"2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Upload; Random forest; Laptop; Decision tree; Social media; Key (lock); Regression analysis; Linear regression; Variable (mathematics); Variables; Machine learning; Artificial intelligence; World Wide Web; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001147542,0.00103886,0.0008636502,0.00303425,0.0003776073,0.0006258356,0.0007635033,0.0007917544,0.0007238145],"category_scores_gemma":[0.003385211,0.0002259093,0.0008156181,0.001372805,0.0001723555,0.0007947994,0.0004265968,0.001020585,0.0005896172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005882868,"about_ca_system_score_gemma":0.0006566531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02273943,"about_ca_topic_score_gemma":0.02472385,"domain_scores_codex":[0.9993845,0.0001106019,0.00006276268,0.0001784763,0.0001563377,0.0001073325],"domain_scores_gemma":[0.998154,0.0006952608,0.0001924825,0.0001271329,0.0007230054,0.0001080801],"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":[0.0007018805,0.001787671,0.1611787,0.000361156,0.0004688492,0.0007185981,0.0002468234,0.3035051,0.007422305,0.0009180716,0.02659362,0.4960971],"study_design_scores_gemma":[0.000005950307,0.00006787391,0.009708452,0.00001445184,0.00001884824,0.00003411974,0.00004906425,0.988386,0.001051422,0.0001737484,0.0004805163,0.000009542775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8928794,0.002023283,0.0903777,0.0006264332,0.0004387501,0.0002384893,0.006305476,0.0026179,0.004492548],"genre_scores_gemma":[0.9371217,0.0005462099,0.04361863,0.00009400163,0.0001406402,0.0001416543,0.0151115,0.00006409265,0.003161448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02273943,"threshold_uncertainty_score":0.04521418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03606848058555161,"score_gpt":0.260111665657059,"score_spread":0.2240431850715073,"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."}}