{"id":"W7017569310","doi":"","title":"Automatic Qualitative Model Abstraction from Numeric Simulation Model","year":2003,"lang":"en","type":"article","venue":"NPARC","topic":"Qualitative Research Methods and Applications","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Abstraction; Scheme (mathematics); Data modeling; Feature (linguistics)","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":[0.002306038,0.00008309285,0.00012718,0.00005510422,0.0004926984,0.00006093777,0.0001170475,0.00007146285,0.0007430663],"category_scores_gemma":[0.001452411,0.00008256579,0.00005685008,0.0002840513,0.0001847902,0.0003020235,0.000008892018,0.0001380402,0.0001164515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001375212,"about_ca_system_score_gemma":0.0002611646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002848423,"about_ca_topic_score_gemma":0.00006317611,"domain_scores_codex":[0.9975333,0.00131168,0.0002146467,0.000216396,0.000474674,0.0002492664],"domain_scores_gemma":[0.9977978,0.001643476,0.0001035296,0.0001565403,0.0001673843,0.0001312677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004797288,0.0001067446,0.00001000436,0.000007039802,0.00001992526,1.910918e-7,0.1322088,0.1536986,0.007958982,0.6793861,0.0004869878,0.02611187],"study_design_scores_gemma":[0.00006259559,0.000004177176,0.00002319181,0.000003812958,0.000004310522,9.891384e-9,0.0116422,0.5322267,0.00009910028,0.4553092,0.0005660276,0.00005875608],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1252076,0.00001408468,0.7579643,0.0008396374,0.00002464822,0.0002593049,0.00002876851,0.00008156893,0.1155801],"genre_scores_gemma":[0.7437704,0.00001655388,0.2550614,0.00005518619,0.00002665034,0.00006391402,0.000007608423,0.000008389439,0.0009899307],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6185628,"threshold_uncertainty_score":0.8136055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2614439774970553,"score_gpt":0.5661009364667354,"score_spread":0.3046569589696801,"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."}}