{"id":"W2005025726","doi":"10.5539/ells.v1n2p129","title":"An Innovative Way of Finding Best or Least Matching Pairs and Groups","year":2011,"lang":"en","type":"article","venue":"English Language and Literature Studies","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Rank (graph theory); Pairing; Mathematics; Group (periodic table); Variable (mathematics); Computer science; Combinatorics; Statistics; Physics; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.02907398,0.002005632,0.002530944,0.009822488,0.004236517,0.004739576,0.003872746,0.002485315,0.02522454],"category_scores_gemma":[0.1251557,0.001512095,0.003220419,0.007812884,0.00340194,0.006107257,0.005568204,0.003314571,0.006314511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001215987,"about_ca_system_score_gemma":0.003922885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008519946,"about_ca_topic_score_gemma":0.00133107,"domain_scores_codex":[0.9541682,0.02732382,0.004449475,0.006807575,0.006318375,0.0009325769],"domain_scores_gemma":[0.9442908,0.03132352,0.003366248,0.01110051,0.009204785,0.0007141817],"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":[0.001453817,0.0005951207,0.005635215,0.001863176,0.0006645762,0.000402425,0.0115871,0.00333172,0.01574046,0.1501975,0.02402475,0.7845042],"study_design_scores_gemma":[0.001511158,0.002709133,0.01188345,0.001114526,0.001066551,0.002953268,0.01469894,0.07318706,0.04637897,0.5972832,0.246144,0.001069743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006027953,0.00005368075,0.9876049,0.0002771573,0.0001790393,0.001535233,0.0004412376,0.001013983,0.002866823],"genre_scores_gemma":[0.01266346,0.00001944564,0.9846517,0.00007852662,0.0000293617,0.001300855,0.0002343169,0.0001692796,0.0008531963],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02907398,"threshold_uncertainty_score":0.1537598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0213697606517436,"score_gpt":0.2972503519027468,"score_spread":0.2758805912510032,"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."}}