{"id":"W4248180548","doi":"10.1007/978-0-387-39940-9_4026","title":"Word Conflation","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Conflation; Word (group theory); Linguistics; Computer science; History; Philosophy","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005902533,0.0003063405,0.0009552342,0.0003661919,0.00007299004,0.00004464717,0.0003134236,0.0002009312,0.005368372],"category_scores_gemma":[0.00005454043,0.0003613493,0.0001904199,0.00004233493,0.0001126146,0.0002477962,0.0001162824,0.0001820375,0.01639706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009499414,"about_ca_system_score_gemma":0.00003433921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001713966,"about_ca_topic_score_gemma":0.00000968321,"domain_scores_codex":[0.9978198,0.000005807942,0.001200754,0.0006549607,0.00007345389,0.0002451992],"domain_scores_gemma":[0.9978505,0.00005326548,0.001212158,0.000738508,0.00005457885,0.00009099559],"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":[0.000007504117,0.00001524828,0.0001059701,0.0001166188,0.0001180523,0.000006400391,0.0001401627,0.00001824741,4.195962e-7,0.6753435,0.3230065,0.001121448],"study_design_scores_gemma":[0.0002487336,0.00002186242,0.00005413516,0.0001779686,0.00002392028,0.000002369089,0.00005294211,0.00008516462,6.49562e-7,0.003720435,0.9952541,0.0003577344],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002543814,0.008553893,0.0001142177,0.00002672045,0.005401103,0.0003817686,0.008265119,0.00003851424,0.9771932],"genre_scores_gemma":[0.0005880175,0.004817331,0.0001518836,0.00002506783,0.0005228608,0.000009766467,0.0005716718,0.0000353027,0.9932781],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6722476,"threshold_uncertainty_score":0.9998838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03770770995790353,"score_gpt":0.2092514873470818,"score_spread":0.1715437773891783,"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."}}