{"id":"W4206207942","doi":"10.7202/016110ar","title":"Errata","year":2006,"lang":"en","type":"article","venue":"Journal of the Canadian Historical Association","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.004099573,0.001303129,0.001364075,0.006463781,0.007560868,0.006505669,0.002592202,0.005337772,0.1413674],"category_scores_gemma":[0.06602037,0.0008273961,0.001394916,0.003568588,0.002220589,0.002946363,0.002349762,0.01081806,0.08300652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00806568,"about_ca_system_score_gemma":0.0106032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0918723,"about_ca_topic_score_gemma":0.1099957,"domain_scores_codex":[0.9933275,0.0008594236,0.0008730712,0.0007637999,0.003577384,0.0005988479],"domain_scores_gemma":[0.9548386,0.006651305,0.001503459,0.003170367,0.03249857,0.001337782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001110787,0.000002689215,0.0000498069,0.00003419145,0.000002374867,0.0000465867,0.00002303431,0.000006336894,0.00001095475,0.0006182446,0.9968923,0.002302337],"study_design_scores_gemma":[0.000009929962,0.000005108894,0.0004305771,0.0001630798,0.00001421836,0.000103802,0.0001416928,0.00002791484,0.000115276,0.0004906176,0.9984818,0.00001618455],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0003100355,0.001674265,0.0004441542,0.09207462,0.8729776,0.00007172813,0.002082751,0.0004854516,0.02987927],"genre_scores_gemma":[0.009579505,0.004531077,0.002084435,0.1349119,0.1414707,0.0002408754,0.00421521,0.001574085,0.7013923],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1413674,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00844063632021888,"score_gpt":0.1834021969328167,"score_spread":0.1749615606125978,"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."}}