{"id":"W4393594508","doi":"10.36548/jaicn.2024.1.007","title":"YouTube Comment Sentiment Classification System","year":2024,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence and Capsule Networks","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Sentiment analysis; Computer science; Information retrieval; Natural language processing","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":[0.0005408523,0.001518414,0.0007287751,0.006605348,0.0010331,0.0009503622,0.0006436706,0.0006640095,0.01582521],"category_scores_gemma":[0.002493158,0.0001722589,0.0006089059,0.002478097,0.0001520045,0.001195839,0.0007768728,0.0004740644,0.0151618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001146593,"about_ca_system_score_gemma":0.0008178054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01991623,"about_ca_topic_score_gemma":0.02445965,"domain_scores_codex":[0.9993567,0.00005515551,0.0001057252,0.0001578699,0.000227786,0.00009689495],"domain_scores_gemma":[0.9985449,0.0001415039,0.000130166,0.00006541051,0.001037867,0.00008013591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00159484,0.0003037383,0.03921546,0.002250478,0.0001707533,0.001671102,0.0006552284,0.0009815112,0.02679143,0.001798429,0.6453828,0.2791841],"study_design_scores_gemma":[0.0003351611,0.0006694262,0.2144595,0.0007302002,0.0004476266,0.001796254,0.003009396,0.2486362,0.05736077,0.002637239,0.4695935,0.0003247825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2416355,0.002333972,0.02892973,0.002085329,0.002459866,0.005821239,0.5429972,0.04938867,0.1243485],"genre_scores_gemma":[0.3034207,0.001398869,0.05921347,0.0006700074,0.0008738739,0.003971612,0.5655254,0.001046558,0.06387957],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01991623,"threshold_uncertainty_score":0.05294061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05232969544101895,"score_gpt":0.2966720594464385,"score_spread":0.2443423640054195,"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."}}