{"id":"W4388028163","doi":"10.1108/s2059-656120230000010008","title":"Applying ANTi-History","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"History and Theory of Mathematics","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; Mount Saint Vincent 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001073512,0.0006010417,0.0004419924,0.001647711,0.003575121,0.005356732,0.0009510059,0.001686107,0.03598681],"category_scores_gemma":[0.002984691,0.0003549018,0.0003488122,0.001044359,0.01107405,0.006843697,0.00290659,0.004410828,0.008334076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004282417,"about_ca_system_score_gemma":0.002457563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003909364,"about_ca_topic_score_gemma":0.006965319,"domain_scores_codex":[0.9990428,0.0004117819,0.00002746804,0.0001614489,0.000253559,0.0001029062],"domain_scores_gemma":[0.9992168,0.0003104962,0.00004151957,0.0001981625,0.0001816921,0.00005136046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002548722,0.000003391647,0.00001860673,0.00001044831,8.553211e-7,0.000006900193,0.000306297,0.00002017396,0.00001864832,0.9876953,0.008137155,0.003779507],"study_design_scores_gemma":[0.0000046811,0.000006575002,0.00007438012,0.00005970652,0.000002835548,0.00004187183,0.0003073617,0.0001128597,0.0001225682,0.5623751,0.4368872,0.000004744503],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0008080653,0.00162915,0.004619796,0.002956571,0.0006244837,0.00001290598,0.00003253202,0.00004021273,0.9892763],"genre_scores_gemma":[0.1218438,0.00354543,0.003754246,0.003775739,0.001247011,0.00009438361,0.00009691477,0.0002808736,0.8653616],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03598681,"threshold_uncertainty_score":0.1203879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1201620506158655,"score_gpt":0.2783810884096982,"score_spread":0.1582190377938327,"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."}}