{"id":"W4385653228","doi":"10.14778/3603581.3603585","title":"Autonomously Computable Information Extraction","year":2023,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Information extraction; Perspective (graphical); Mechanism (biology); Data mining; Relation (database); Information retrieval; Artificial intelligence","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":[0.002419207,0.0009100305,0.00109724,0.001345125,0.001091236,0.0035933,0.002482388,0.001304444,0.00465021],"category_scores_gemma":[0.02002358,0.001100487,0.001250295,0.001583202,0.002628494,0.007674149,0.004436542,0.001978344,0.00167796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001380557,"about_ca_system_score_gemma":0.00283227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002315023,"about_ca_topic_score_gemma":0.003073125,"domain_scores_codex":[0.9949886,0.001082433,0.0004117461,0.00135593,0.001783111,0.0003782359],"domain_scores_gemma":[0.9858596,0.006676912,0.0009419799,0.005231976,0.001142187,0.000147387],"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":[0.0007784635,0.0002383235,0.005728406,0.0008185203,0.0001929641,0.000434108,0.0008626973,0.1262934,0.05275756,0.2993072,0.01234217,0.5002461],"study_design_scores_gemma":[0.00008694655,0.00009759102,0.0009903444,0.00006422737,0.00009916662,0.0002519953,0.0001147572,0.643613,0.06071467,0.2737583,0.0201339,0.00007520321],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02206705,0.0001898915,0.9630607,0.0005309041,0.00004632215,0.0001250698,0.0003238888,0.009787342,0.003868869],"genre_scores_gemma":[0.4180244,0.000252308,0.5742159,0.0002919889,0.0000878605,0.0002854668,0.001085037,0.001108623,0.004648423],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00465021,"threshold_uncertainty_score":0.01555651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020545676619336,"score_gpt":0.2254807868001845,"score_spread":0.2152753300339911,"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."}}