{"id":"W4413473602","doi":"10.1007/978-3-032-02088-8_12","title":"A Model-Based Approach for Simple Construction and Efficient Evaluation of Dataframes","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"","keywords":"Computer science; Simple (philosophy)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00274835,0.00151994,0.001393427,0.002316644,0.001367888,0.003886621,0.002639337,0.001535876,0.01042745],"category_scores_gemma":[0.01251711,0.001318011,0.002225928,0.002623033,0.0008691724,0.003453381,0.002768794,0.002462242,0.002600524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002066046,"about_ca_system_score_gemma":0.003528443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009058868,"about_ca_topic_score_gemma":0.01023392,"domain_scores_codex":[0.9974054,0.0007235571,0.0002494706,0.0003703557,0.001069383,0.0001819058],"domain_scores_gemma":[0.995856,0.001719484,0.0001832915,0.001072177,0.001039885,0.000129246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002822769,0.0002112519,0.001332411,0.0004103296,0.0001639979,0.0002415706,0.0003226672,0.2864904,0.01900441,0.2516383,0.01196445,0.427938],"study_design_scores_gemma":[0.00002776696,0.00004933548,0.0001340833,0.00003749618,0.00005040324,0.00007482508,0.00005083374,0.9160981,0.007694997,0.06599992,0.009752119,0.00003022048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006128052,0.00002163552,0.9976277,0.00002465317,0.00001428607,0.00004892752,0.00007568379,0.001076115,0.0004983157],"genre_scores_gemma":[0.03213088,0.00005653019,0.9659752,0.00002961613,0.00001471596,0.000208335,0.0003277885,0.0004665236,0.0007903179],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01042745,"threshold_uncertainty_score":0.03488326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1315985373732323,"score_gpt":0.3751087621263499,"score_spread":0.2435102247531176,"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."}}