{"id":"W2986923806","doi":"10.1145/3356773.3356777","title":"SEGarage","year":2019,"lang":"en","type":"article","venue":"ACM SIGSOFT Software Engineering Notes","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","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":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002189385,0.0001964733,0.0002634871,0.0003567302,0.00008678991,0.0004746332,0.002079634,0.00006224174,0.0009852794],"category_scores_gemma":[0.3376341,0.0001617825,0.0001242686,0.0009676851,0.00002221391,0.0003429969,0.001030891,0.0001649919,0.005767961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003266468,"about_ca_system_score_gemma":0.00002500854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001803867,"about_ca_topic_score_gemma":0.00000163765,"domain_scores_codex":[0.9971406,0.0000328626,0.0004511476,0.0008148857,0.001157646,0.0004028327],"domain_scores_gemma":[0.8959058,0.09951943,0.0001511895,0.004030563,0.0001975183,0.0001955162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009267079,0.00005168568,0.8628541,0.0000374076,0.00003110124,0.00002457116,0.0003667825,0.02013088,0.001010725,0.001137834,0.03357105,0.08077457],"study_design_scores_gemma":[0.0005608359,0.0000855741,0.626879,0.00009095549,0.00001774148,0.000017162,0.00009627978,0.006420839,0.00154365,0.0008090595,0.3627109,0.0007679894],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9585215,0.0001663528,0.03634515,0.0003677966,0.003458609,0.0002264659,0.00002792308,0.0007625815,0.0001236301],"genre_scores_gemma":[0.9727168,0.000001571837,0.02434627,0.0001677245,0.0001157918,0.000005491332,0.0000169167,0.0000231266,0.002606286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3354447,"threshold_uncertainty_score":0.9999279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06264794275704325,"score_gpt":0.3214378711156683,"score_spread":0.258789928358625,"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."}}