{"id":"W2038552044","doi":"10.1515/jisys.2008.17.1-3.247","title":"Range Similarity and Satisfaction Measures for Buyers and Sellers in E-marketplaces","year":2008,"lang":"en","type":"article","venue":"Journal of Intelligent Systems","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Range (aeronautics); Similarity (geometry); Computer science; Artificial intelligence; Mathematics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0007832117,0.00007064844,0.0001721508,0.000129097,0.00008918279,0.00007874054,0.0001454475,0.00003771943,6.115728e-7],"category_scores_gemma":[0.00007203264,0.00005715873,0.00002949071,0.0001052129,0.00003572167,0.0003166292,0.00002642206,0.00009120483,5.810252e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003871381,"about_ca_system_score_gemma":0.00003818091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001274018,"about_ca_topic_score_gemma":0.00004304735,"domain_scores_codex":[0.9992281,0.00004775761,0.0003385977,0.0001214899,0.0001649245,0.00009916598],"domain_scores_gemma":[0.9993264,0.0001868533,0.0002033495,0.0001031985,0.0001082157,0.00007199338],"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":[0.0002795152,0.0003424846,0.3401442,0.0005549876,0.0003680381,0.0001049655,0.01586152,0.003481857,0.002201017,0.008864528,0.03297616,0.5948207],"study_design_scores_gemma":[0.003536658,0.001241936,0.2359996,0.001107047,0.00008555666,0.00533607,0.005753343,0.6140621,0.003111011,0.0017529,0.1269782,0.001035618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3166452,0.002657536,0.6793615,0.0005368698,0.0004426089,0.0002630304,0.000008672177,0.00001245615,0.00007212564],"genre_scores_gemma":[0.9831377,0.001511116,0.01518792,0.00002687759,0.00007936301,0.00001001918,4.097582e-7,0.00000442848,0.00004211501],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6664925,"threshold_uncertainty_score":0.2330865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04144229712915248,"score_gpt":0.269234653457551,"score_spread":0.2277923563283986,"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."}}