{"id":"W4233012245","doi":"10.1007/978-0-387-39940-9_2039","title":"Anchor Text Surrogate","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Surrogate endpoint; Artificial intelligence; Natural language processing; Medicine; Internal medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005602997,0.0005393029,0.0008035052,0.0003964494,0.00007458632,0.0001209356,0.00221758,0.0003711525,0.00004425194],"category_scores_gemma":[0.00009471978,0.0004814953,0.0001730875,0.0001336094,0.00008546244,0.0007609374,0.0005683166,0.0006090298,0.000158206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008962267,"about_ca_system_score_gemma":0.0002413149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001092993,"about_ca_topic_score_gemma":0.00001282917,"domain_scores_codex":[0.9970532,0.00005517757,0.0008391078,0.000863025,0.0008065455,0.0003829192],"domain_scores_gemma":[0.9964767,0.0001391225,0.0008312048,0.002115548,0.0002678529,0.0001696172],"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":[0.00001048602,0.00004442089,0.000007179724,0.0008321176,0.00007122035,0.0003680033,0.0001884692,0.000001953785,0.0002163854,0.819602,0.07169888,0.1069589],"study_design_scores_gemma":[0.0002187655,0.0001253683,0.000002610477,0.002293917,0.00004843042,0.00009624954,0.000005000288,0.000295373,0.0003650885,0.01374233,0.9819745,0.0008324019],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000004297158,0.04865937,0.06829906,0.0001395467,0.001732498,0.000884244,0.0006049895,0.001065909,0.8786101],"genre_scores_gemma":[0.0008599,0.004243573,0.2215163,0.0001476601,0.001229323,0.00003961204,0.0005674872,0.000123102,0.771273],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9102756,"threshold_uncertainty_score":0.9997637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01339547013369833,"score_gpt":0.247798285944219,"score_spread":0.2344028158105207,"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."}}