{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00937061,0.000907359,0.001177166,0.002712728,0.00231642,0.007415236,0.004523385,0.001791906,0.009989312],"category_scores_gemma":[0.01422437,0.001463645,0.002886244,0.00437073,0.002645211,0.01042121,0.007410408,0.004120954,0.005263703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002632122,"about_ca_system_score_gemma":0.005439221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004139089,"about_ca_topic_score_gemma":0.004085775,"domain_scores_codex":[0.9940405,0.0008912394,0.0008708338,0.0008139777,0.002735805,0.0006475655],"domain_scores_gemma":[0.9928783,0.001403354,0.000581822,0.003375544,0.001431461,0.0003294889],"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":[0.0002424287,0.0001063572,0.001575647,0.0003737999,0.00005930951,0.0003170106,0.0007638247,0.005276836,0.008155521,0.8463576,0.02114614,0.1156256],"study_design_scores_gemma":[0.00009020153,0.0001644542,0.000585473,0.0003545629,0.0001467386,0.0009208206,0.0002783338,0.031994,0.02982534,0.3559454,0.5794886,0.000206145],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004928902,0.0004327862,0.9708746,0.000381958,0.0004255737,0.0001825609,0.00177729,0.01466454,0.006331868],"genre_scores_gemma":[0.06495596,0.001117967,0.9022784,0.0007431794,0.0004280319,0.0005677079,0.003705204,0.006760601,0.01944287],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009989312,"threshold_uncertainty_score":0.04955709,"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."}}