{"id":"W2561314860","doi":"10.48550/arxiv.1611.03736","title":"A Formal Definition for Configuration","year":2016,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Computer science; Matching (statistics); Task (project management); Relational database; Information retrieval; Set (abstract data type); Keyword search; Key (lock); Process (computing); Space (punctuation); Data mining; Programming language; Mathematics","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":[0.003853985,0.001889198,0.0008623386,0.003006023,0.003004694,0.007995836,0.004515709,0.003606645,0.02966329],"category_scores_gemma":[0.006981264,0.001000331,0.001556992,0.003928785,0.007468836,0.01621409,0.005413708,0.004359249,0.01320649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002490376,"about_ca_system_score_gemma":0.002367791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003025546,"about_ca_topic_score_gemma":0.001739213,"domain_scores_codex":[0.9943763,0.001414589,0.0007659277,0.001575959,0.001110104,0.0007571827],"domain_scores_gemma":[0.9957385,0.00138295,0.000386602,0.001238725,0.0009730057,0.0002802713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001171334,0.00001284213,0.0001063242,0.00006571119,0.000006307393,0.0001147969,0.0002105017,0.000795746,0.000292367,0.9833161,0.005837097,0.009230348],"study_design_scores_gemma":[0.00001646126,0.0000289385,0.00009944646,0.000113698,0.00001525385,0.0004776829,0.0002880757,0.005370101,0.0007051746,0.7331696,0.2596889,0.00002669303],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003937499,0.001991302,0.8643824,0.003260519,0.000952206,0.0004426943,0.002198973,0.002358895,0.1204756],"genre_scores_gemma":[0.2900857,0.004419624,0.6154435,0.003645206,0.002088084,0.002938538,0.006067405,0.002217114,0.07309482],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02966329,"threshold_uncertainty_score":0.09923363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1088608043623868,"score_gpt":0.1895361881435328,"score_spread":0.08067538378114597,"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."}}