{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002234026,0.0002693319,0.0005938072,0.0001998651,0.00007982003,0.00007274228,0.000166178,0.00046508,0.0002850878],"category_scores_gemma":[0.0001304526,0.0002044525,0.000361644,0.0001197559,0.0000933232,0.00004931217,0.000126384,0.0003185621,0.00008808514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008461787,"about_ca_system_score_gemma":0.000227113,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009577729,"about_ca_topic_score_gemma":0.001315784,"domain_scores_codex":[0.9984891,0.00002993677,0.0002957819,0.0003909297,0.0004429491,0.0003513246],"domain_scores_gemma":[0.9983299,0.00002615424,0.000121267,0.001055339,0.0002048498,0.0002624571],"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":[0.00002118102,0.00004694211,0.00001923161,0.0001600449,0.0001177265,0.00001854258,0.000006971244,8.735783e-8,0.00002311777,0.00000564732,0.9989689,0.0006116282],"study_design_scores_gemma":[0.0003698532,0.0001075716,0.0006821819,0.0002501187,0.0003061868,0.0000913016,0.000007177091,0.000009676129,0.00002339284,0.00001768387,0.9979186,0.0002162501],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003117174,0.0006834689,0.000004028423,0.0008301521,0.000511792,0.0002532334,0.9951405,0.00005891431,0.002486744],"genre_scores_gemma":[0.00003309571,0.001078986,0.0001079632,0.0008983127,0.003360647,0.00001538476,0.994279,0.00003672313,0.0001899179],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.008261944,"threshold_uncertainty_score":0.9970176,"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."}}