{"id":"W4378695905","doi":"10.3390/a16060271","title":"Enhancing Social Media Platforms with Machine Learning Algorithms and Neural Networks","year":2023,"lang":"en","type":"article","venue":"Algorithms","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Canada West","funders":"","keywords":"Machine learning; Computer science; Artificial neural network; Artificial intelligence; Social media; Upload; Context (archaeology); Social network (sociolinguistics); Workload; Algorithm; World Wide Web","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":[0.001513069,0.001072565,0.0005468821,0.001602691,0.000562629,0.001831843,0.0008747827,0.000929079,0.003484799],"category_scores_gemma":[0.007896959,0.0002661491,0.0004810232,0.0009119318,0.0004387188,0.003576331,0.001131496,0.0009424911,0.001394082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008956763,"about_ca_system_score_gemma":0.0004752441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002291787,"about_ca_topic_score_gemma":0.003312708,"domain_scores_codex":[0.999108,0.0003404449,0.00003986665,0.0001171324,0.0003231745,0.00007133598],"domain_scores_gemma":[0.9973423,0.00150653,0.0002882456,0.0002561849,0.0005428134,0.00006393834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002167701,0.0009584061,0.003893275,0.000396024,0.0001452637,0.0001510723,0.0001757337,0.2288565,0.02028952,0.02109976,0.006212983,0.7176047],"study_design_scores_gemma":[0.00001360878,0.0001029379,0.0005494737,0.00003167434,0.00002499737,0.00002581006,0.00007388958,0.9762771,0.005678312,0.01347589,0.003729702,0.00001667059],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09441085,0.001204674,0.8750813,0.001963951,0.0002501364,0.0004075185,0.0002050117,0.00256862,0.02390799],"genre_scores_gemma":[0.6090944,0.001201623,0.38212,0.0002968483,0.0002880269,0.0002847926,0.0002474907,0.0002060217,0.006260748],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003484799,"threshold_uncertainty_score":0.01165777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02024740755852831,"score_gpt":0.2490836680952002,"score_spread":0.2288362605366719,"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."}}