{"id":"W6931681228","doi":"10.5683/sp/jq0nlc","title":"EdChat Public Tweets","year":2018,"lang":"en","type":"dataset","venue":"Borealis","topic":"Cardiac Fibrosis and Remodeling","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Python (programming language); Dashboard; Analytics; Set (abstract data type); Identifier; Sentiment analysis; Social media","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007431931,0.001481355,0.0007820097,0.002951584,0.0008751658,0.001349317,0.001876237,0.001422748,0.01541769],"category_scores_gemma":[0.003365949,0.0003522896,0.0007257354,0.0037435,0.000394219,0.0012257,0.001606996,0.001359754,0.02826615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001109829,"about_ca_system_score_gemma":0.001240782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01391388,"about_ca_topic_score_gemma":0.02798859,"domain_scores_codex":[0.9991602,0.0001280795,0.0001057023,0.0001947092,0.0002647795,0.0001465712],"domain_scores_gemma":[0.9987763,0.0001863541,0.0001643943,0.0003057441,0.0003790988,0.0001880901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002610355,0.0001168447,0.005487117,0.0005663051,0.0000407923,0.0001303243,0.0001554811,0.0007516879,0.0007601494,0.0007627262,0.9818453,0.009122393],"study_design_scores_gemma":[0.0002023519,0.00006711036,0.0179509,0.0001625632,0.00003104449,0.0002488471,0.0003858141,0.002097902,0.0016516,0.0008619733,0.9762853,0.00005458869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00262275,0.00008827712,0.0002003229,0.0001512923,0.00007355382,0.00005641154,0.99443,0.0007342973,0.001643006],"genre_scores_gemma":[0.002349263,0.00004744,0.0004865204,0.00005468429,0.00001884558,0.0001274513,0.9957018,0.00005270062,0.001161253],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01541769,"threshold_uncertainty_score":0.05157733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03381214435685709,"score_gpt":0.2958698452712976,"score_spread":0.2620577009144405,"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."}}