{"id":"W6980671559","doi":"","title":"A Comparison of Machine Learning Techniques to Classify Tweets relevant to People impacted by Dementia and COVID-19","year":2022,"lang":"en","type":"dissertation","venue":"University Library (University of Saskatchewan)","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dementia; Task (project management); Process (computing); Principal (computer security); Social media; Order (exchange); Health care","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":[0.006487769,0.002187925,0.001506662,0.005072208,0.001091655,0.002012682,0.001381455,0.00254458,0.001136258],"category_scores_gemma":[0.01172463,0.0003479948,0.002024112,0.00222966,0.0005244848,0.00254464,0.001043356,0.002434412,0.001306604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001326154,"about_ca_system_score_gemma":0.00145982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00937485,"about_ca_topic_score_gemma":0.007692076,"domain_scores_codex":[0.996631,0.001154881,0.0005126022,0.0006158966,0.0007048959,0.000380754],"domain_scores_gemma":[0.9901641,0.006807773,0.0004287175,0.0003873561,0.001858837,0.000353201],"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":[0.008350427,0.002828683,0.09760121,0.001681459,0.001695261,0.000365393,0.000739513,0.06393708,0.006390685,0.001168577,0.02364427,0.7915974],"study_design_scores_gemma":[0.0002625743,0.002597989,0.05623884,0.0003666552,0.0006516422,0.0004013384,0.002269599,0.9192771,0.008028804,0.002243716,0.007530961,0.000130805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8833624,0.02051723,0.06638323,0.004236808,0.003331278,0.000825902,0.005140469,0.003416174,0.01278644],"genre_scores_gemma":[0.8981599,0.004624587,0.08047152,0.0009608506,0.0007812898,0.0003976419,0.01068885,0.000141939,0.003773416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00937485,"threshold_uncertainty_score":0.03431106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02807956563733803,"score_gpt":0.2737494981876539,"score_spread":0.2456699325503159,"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."}}