{"id":"W6931762627","doi":"10.5683/sp2/vfxliw","title":"Tweets from the 2018 Congress of the Social Sciences and Humanities","year":2018,"lang":"en","type":"dataset","venue":"Borealis","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Social media; Digital humanities; Information science; Social research","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002214328,0.0001169178,0.0001272751,0.00001272967,0.0003582178,0.0000487966,0.0006475947,0.000170697,0.00003134478],"category_scores_gemma":[0.00008641752,0.0000606892,0.00006165856,0.00003851932,0.003164096,0.000001090541,0.0004363861,0.0000892637,9.418555e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003175406,"about_ca_system_score_gemma":0.0001351106,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02105176,"about_ca_topic_score_gemma":0.01905666,"domain_scores_codex":[0.9991257,0.0001061643,0.0001288394,0.0002263097,0.0002568548,0.000156179],"domain_scores_gemma":[0.9993724,0.00002908214,0.0001087983,0.0003947503,0.00008007672,0.00001485516],"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":[0.000009366219,0.000006595163,0.00007754727,0.00000983787,0.00004217884,2.669265e-7,0.00004174975,5.368333e-8,0.000259868,0.00002053387,0.9994367,0.00009534824],"study_design_scores_gemma":[0.0001018697,0.0001013875,0.003619671,0.0000192236,0.00003035451,0.000001507853,0.0001279181,4.701986e-7,0.002832654,0.0001671618,0.992918,0.00007978891],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00856539,0.0009714877,4.145172e-7,0.000295557,0.0001785736,0.0001230954,0.9894139,0.00000107041,0.000450554],"genre_scores_gemma":[0.001850254,0.0007132717,0.00001186445,0.0004808077,0.001070491,0.00001055736,0.9955708,0.000007675823,0.0002842452],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.006715136,"threshold_uncertainty_score":0.9995487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03916593043763806,"score_gpt":0.3229993490837926,"score_spread":0.2838334186461545,"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."}}