{"id":"W4394178034","doi":"10.6084/m9.figshare.1293600.v2","title":"#MLA15 Twitter Archive, 8-11 January 2015","year":2015,"lang":"en","type":"dataset","venue":"Figshare","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web","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":[0.0008258007,0.001169489,0.0009781693,0.003803378,0.001334297,0.00321186,0.001297512,0.00107018,0.1077379],"category_scores_gemma":[0.006297975,0.0005976435,0.0007099363,0.005938431,0.0003225069,0.002746968,0.002645821,0.001225933,0.2524226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001590414,"about_ca_system_score_gemma":0.002521451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04921159,"about_ca_topic_score_gemma":0.09968665,"domain_scores_codex":[0.9989426,0.0001237706,0.0001413852,0.0002121433,0.0003915908,0.0001886953],"domain_scores_gemma":[0.9977508,0.0002611549,0.000187684,0.0005521494,0.0009751114,0.0002731591],"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":[0.00002119889,0.000004024977,0.0003047883,0.0001189988,0.000004505951,0.000008618729,0.00003443713,0.00005037899,0.00008859057,0.0002602141,0.9969098,0.002194369],"study_design_scores_gemma":[0.00002626303,0.000009146406,0.003650348,0.0001506716,0.000007783819,0.0000171255,0.0001846363,0.0003140505,0.0003075724,0.0005745033,0.9947349,0.00002304899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002171924,0.00005735426,0.00011566,0.0001195184,0.0001361233,0.00002377376,0.9951752,0.0008079594,0.003347091],"genre_scores_gemma":[0.0006749383,0.00007141845,0.0003571435,0.00008361001,0.0000301489,0.0001102301,0.9933303,0.0002940281,0.00504823],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1077379,"threshold_uncertainty_score":0.3604192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09910228532247865,"score_gpt":0.3709336271509692,"score_spread":0.2718313418284906,"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."}}