{"id":"W4386324444","doi":"10.1145/3609027.3609406","title":"Infix-Extensible Record Types for Tabular Data","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Google (Canada)","funders":"","keywords":"Computer science; Concatenation (mathematics); Data type; Table (database); Class (philosophy); Frame (networking); Benchmark (surveying); Programming language; Extensibility; Theoretical computer science; Artificial intelligence; Data mining; Arithmetic; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002755944,0.00007227369,0.0001102086,0.00005862959,0.00009817059,0.00004275278,0.0006608852,0.00002293548,0.00001861573],"category_scores_gemma":[0.0001620096,0.00005815965,0.0000195396,0.0003708213,0.00001605213,0.0009233677,0.0007958079,0.00003187886,0.0003418636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005575369,"about_ca_system_score_gemma":0.00003881987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008521553,"about_ca_topic_score_gemma":0.0001292468,"domain_scores_codex":[0.999177,0.0000111271,0.0001380414,0.0003608111,0.0001031354,0.0002098331],"domain_scores_gemma":[0.9983431,0.0001286635,0.00003557266,0.001387313,0.00005916391,0.00004620022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004407471,0.000008941313,0.00013133,0.0000356292,0.00001454322,0.00001010252,0.0000513922,0.00004930046,0.0004883387,0.6467179,0.2768323,0.0756558],"study_design_scores_gemma":[0.0001022512,0.00002583718,0.0001127835,0.000009895401,0.000001719011,0.000002274794,0.00003255464,0.0652866,0.0004272164,0.002394835,0.9315056,0.00009847704],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003866357,0.00006841803,0.9954132,0.001147007,0.0005851944,0.0001743905,0.00009670784,0.0004889578,0.001639479],"genre_scores_gemma":[0.004514345,0.00009975819,0.9793705,0.0005785623,0.000258285,0.00004845139,0.0003971971,0.00001871834,0.01471417],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6546732,"threshold_uncertainty_score":0.4394079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09560218146417815,"score_gpt":0.3294770052331248,"score_spread":0.2338748237689467,"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."}}