{"id":"W199386351","doi":"","title":"A Computer Program for Obtaining Subsystems.","year":2001,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"Advanced Data Processing Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Computer program; Computer science; Arithmetic; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001280497,0.0001459802,0.0001723133,0.00005956693,0.00007002522,0.00006002733,0.0002122376,0.0000768244,0.000003946802],"category_scores_gemma":[0.00002032878,0.0001557093,0.00003953619,0.0001882168,0.00002224187,0.0002318624,0.00003628065,0.000104985,0.00001224668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006594459,"about_ca_system_score_gemma":0.00001016433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002174711,"about_ca_topic_score_gemma":0.000001070081,"domain_scores_codex":[0.9992332,0.000008918854,0.000188729,0.0001754448,0.00009650298,0.0002971859],"domain_scores_gemma":[0.9995241,0.00005748471,0.00003138966,0.0002624701,0.00006488361,0.00005969514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004366817,0.0002637706,0.003967384,0.000627934,0.0001348998,0.00005177503,0.0005235053,0.001665156,0.001113701,0.2904906,0.05562774,0.6454898],"study_design_scores_gemma":[0.001838282,0.0006612214,0.0004560568,0.0003105149,0.00002676352,0.00007054454,0.00004670755,0.2428356,0.004732573,0.3114034,0.4367049,0.0009135253],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4806127,0.001049427,0.4861142,0.0001168491,0.005327927,0.002789045,0.00003264991,0.01846782,0.005489454],"genre_scores_gemma":[0.8858456,0.00003340502,0.1135468,0.00002769942,0.00003407403,0.0003820763,0.00004141656,0.00006047081,0.00002844572],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6445763,"threshold_uncertainty_score":0.6349641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01499881400213835,"score_gpt":0.2729848862996468,"score_spread":0.2579860722975085,"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."}}