{"id":"W2026132760","doi":"10.1145/1980002.1980005","title":"Interview with Frank Tompa","year":2011,"lang":"en","type":"article","venue":"ACM SIGWEB Newsletter","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; XML; Selection (genetic algorithm); Matching (statistics); World Wide Web; Information retrieval; Library science; Database; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002613035,0.0006095231,0.0007171343,0.0009362413,0.01213506,0.004487816,0.0009196913,0.005502681,0.03137558],"category_scores_gemma":[0.01180956,0.0005204049,0.0003357595,0.001326416,0.002669607,0.005488223,0.002248697,0.01370322,0.009013917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004765173,"about_ca_system_score_gemma":0.009125986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02062456,"about_ca_topic_score_gemma":0.0264878,"domain_scores_codex":[0.9980792,0.0006554747,0.00005114137,0.0002585686,0.0004262531,0.000529336],"domain_scores_gemma":[0.9954964,0.001290115,0.000162671,0.00006295412,0.001093619,0.001894322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001081343,0.00001737362,0.0001852177,0.00002628562,0.000001081191,0.0002344202,0.002552446,0.00001909637,0.00005424813,0.003262715,0.986384,0.007252297],"study_design_scores_gemma":[0.000004273373,0.00001613951,0.0002926394,0.00009713119,0.000001475877,0.0007266577,0.008824813,0.00004357738,0.00004211827,0.001097322,0.9888405,0.00001329783],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.002800462,0.009876249,0.0004406428,0.9421962,0.01298891,0.0000337474,0.0001406672,0.00007931817,0.03144382],"genre_scores_gemma":[0.04257245,0.01190985,0.001168345,0.7761003,0.004494415,0.0001978046,0.0001764696,0.0002050923,0.1631751],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03137558,"threshold_uncertainty_score":0.1049618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05752585429544359,"score_gpt":0.2301314030652581,"score_spread":0.1726055487698145,"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."}}