{"id":"W4404783696","doi":"10.18653/v1/2024.emnlp-main.365","title":"Satyrn: A Platform for Analytics Augmented Generation","year":2024,"lang":"en","type":"article","venue":"","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Analytics; Computer science; Data science","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":[0.00188635,0.001998522,0.0009821984,0.001852238,0.0006957876,0.002583486,0.004201793,0.001321043,0.06881622],"category_scores_gemma":[0.00576132,0.001136503,0.001674474,0.001227809,0.0007937007,0.003452647,0.006030772,0.002427924,0.03537512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007079708,"about_ca_system_score_gemma":0.001033606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004547225,"about_ca_topic_score_gemma":0.007678411,"domain_scores_codex":[0.9989103,0.0002217589,0.00006472987,0.0002886481,0.0004430758,0.00007140591],"domain_scores_gemma":[0.9985074,0.0005546062,0.00005894149,0.000516202,0.0002371537,0.0001256638],"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":[0.002863512,0.0002659132,0.001948702,0.001135003,0.000460248,0.0006551414,0.0005548645,0.02450681,0.0146468,0.026521,0.6380714,0.2883706],"study_design_scores_gemma":[0.001097347,0.0002634229,0.001596666,0.0002576161,0.000129639,0.0004164142,0.0002091245,0.4222656,0.02530243,0.08734252,0.4608569,0.0002622661],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.003200232,0.001088331,0.4618832,0.0006762122,0.0008149344,0.0004821613,0.03145714,0.4860309,0.01436691],"genre_scores_gemma":[0.1125715,0.001718687,0.6226457,0.001280361,0.0003633027,0.002175126,0.1586035,0.06823269,0.03240908],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.06881622,"threshold_uncertainty_score":0.2302132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1471456273964378,"score_gpt":0.4099894648647944,"score_spread":0.2628438374683566,"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."}}