{"id":"W2147542998","doi":"10.1109/wcre.2003.1287250","title":"Completeness of a fact extractor","year":2004,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Completeness (order theory); Extractor; Computer science; Programming language; Source code; Mathematics; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0001249086,0.0000434668,0.00007471077,0.00006231594,0.00001249581,0.0000224344,0.0005249131,0.00001771798,0.00002423022],"category_scores_gemma":[0.0001281505,0.00003625889,0.00002568312,0.0002198904,0.00001696018,0.0001429996,0.0001037866,0.00005144866,0.00004537069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002490326,"about_ca_system_score_gemma":0.00005304632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007488159,"about_ca_topic_score_gemma":0.00000171168,"domain_scores_codex":[0.9994511,0.000007740598,0.00008505223,0.000117321,0.0002046705,0.0001341296],"domain_scores_gemma":[0.999347,0.0002335754,0.00001220268,0.0003126426,0.00004778057,0.00004674262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001430159,0.0005100965,0.05225881,0.0002593833,0.00007225389,0.0001112529,0.001242401,0.02034299,0.1332604,0.7497207,0.0005046355,0.04170279],"study_design_scores_gemma":[0.0009356569,0.0001660594,0.8298339,0.00005397102,0.000001396716,0.0000328963,0.00001187257,0.004045596,0.1553075,0.007913592,0.001425384,0.0002722085],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2424254,0.00001791012,0.7568932,0.00009475116,0.00006572672,0.00003932032,4.646196e-7,0.0001419695,0.0003213044],"genre_scores_gemma":[0.928946,9.117421e-7,0.07099015,0.00001308783,0.000007456038,0.000002418877,2.221293e-7,0.00000313891,0.0000366206],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7775751,"threshold_uncertainty_score":0.1478595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03092212224234648,"score_gpt":0.2767919349140687,"score_spread":0.2458698126717223,"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."}}