{"id":"W2523721575","doi":"","title":"The Names by Tim Lilburn","year":2016,"lang":"en","type":"article","venue":"Scholars Commons (Wilfrid Laurier University)","topic":"Names, Identity, and Discrimination Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Computer science; History","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001087813,0.0001169174,0.0001197229,0.000183121,0.003552224,0.0004103496,0.001176631,0.0001138207,0.0005644596],"category_scores_gemma":[0.000698685,0.00008437957,0.0001155207,0.0007631693,0.001108163,0.001093708,0.0002595166,0.0002705915,0.000283566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002911876,"about_ca_system_score_gemma":0.0003495601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009632547,"about_ca_topic_score_gemma":0.008687099,"domain_scores_codex":[0.9977068,0.0006894611,0.0001259194,0.0002631507,0.0006907072,0.0005239247],"domain_scores_gemma":[0.9984111,0.0005306656,0.00007392265,0.0004003174,0.000284337,0.0002996405],"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":[0.00008095193,0.0001715884,0.1032676,0.000007192902,0.00009185127,0.00006041375,0.001538641,3.328384e-7,0.0006908877,0.4837178,0.3716076,0.03876519],"study_design_scores_gemma":[0.0004380155,0.00002296294,0.00247008,0.00001495132,0.00001956331,4.409155e-7,0.003602328,9.657149e-7,0.0002131152,0.003371096,0.9896986,0.0001478478],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2626582,0.001287167,0.0006241723,0.0577858,0.0008369709,0.0005388765,0.0001273597,0.0003022833,0.6758392],"genre_scores_gemma":[0.6738513,0.001628561,0.00004842301,0.0001280074,0.0001020335,0.000001866797,0.000005159517,0.00001429151,0.3242203],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.618091,"threshold_uncertainty_score":0.997745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02015011376809081,"score_gpt":0.278861486833435,"score_spread":0.2587113730653441,"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."}}