{"id":"W3095626157","doi":"","title":"Author Name Disambiguation Using Co-training","year":2020,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Windsor","keywords":"Training (meteorology); Computer science; Artificial intelligence; Natural language processing; Linguistics; Philosophy; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.009525738,0.002258705,0.002586044,0.008691797,0.001635918,0.003045324,0.003904677,0.003964745,0.002849076],"category_scores_gemma":[0.02420535,0.0007294974,0.002312801,0.007223265,0.001228178,0.005979758,0.003031472,0.003194263,0.003686327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001285973,"about_ca_system_score_gemma":0.00213563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00279985,"about_ca_topic_score_gemma":0.005411541,"domain_scores_codex":[0.9924185,0.002472186,0.0007257254,0.002742292,0.001121,0.0005203782],"domain_scores_gemma":[0.9730435,0.0140276,0.002021004,0.00512187,0.004996081,0.0007900024],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009974225,0.0007476693,0.02183434,0.0005942623,0.0005290132,0.0004336692,0.0005125573,0.06043395,0.006257431,0.004402661,0.03295796,0.870299],"study_design_scores_gemma":[0.000126037,0.0003030189,0.004452321,0.0001653139,0.0003085358,0.0008767064,0.0002932717,0.9331838,0.01799716,0.01892277,0.02327899,0.00009201067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09263193,0.01014883,0.8658454,0.002082878,0.001862734,0.0004569863,0.002283134,0.01523413,0.009453989],"genre_scores_gemma":[0.493201,0.001583845,0.4836569,0.001180181,0.001068014,0.0003389977,0.008593467,0.0006646881,0.009712921],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9913082,"threshold_uncertainty_score":0.05037749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.431593318076738,"score_gpt":0.4039498218923242,"score_spread":0.02764349618441375,"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."}}