{"id":"W2015212915","doi":"10.1111/j.1740-9713.2013.00695.x","title":"A Carriage Full of Curates","year":2013,"lang":"en","type":"article","venue":"Significance","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carriage; Derailment; History; Storm; Genealogy; Geography; Archaeology; Meteorology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001110654,0.00002797097,0.00006779667,0.0000782068,0.0002209473,0.00007952665,0.0001319823,0.00003164955,0.003174158],"category_scores_gemma":[0.00007403186,0.00003590277,0.00003070572,0.0001614089,0.0004552198,0.0001444028,0.000005734825,0.0000401915,0.0003580178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001342204,"about_ca_system_score_gemma":0.0003492847,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6702536,"about_ca_topic_score_gemma":0.6166602,"domain_scores_codex":[0.999532,0.0000399051,0.00008347018,0.00008146527,0.0001305497,0.0001325787],"domain_scores_gemma":[0.999679,0.00003419011,0.00004631061,0.00009107676,0.00006872311,0.0000806963],"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":[0.00001606678,0.000104782,0.002540078,0.000104707,0.00003857786,0.00001124158,0.06557355,0.00001660325,0.06856704,0.2775725,0.53319,0.05226484],"study_design_scores_gemma":[0.00006620598,0.00001710158,0.003238492,0.00001054196,0.000004449085,1.12405e-7,0.002984156,0.000004654156,0.0002633354,0.003072907,0.9902492,0.00008891021],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5009158,0.00137158,0.00009372137,0.002824549,0.0008885386,0.0005200161,0.00003395692,0.00008027338,0.4932716],"genre_scores_gemma":[0.983339,0.00008413641,0.00008194019,0.00006349275,0.000110805,0.00002009279,6.140572e-7,0.000003391009,0.0162966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4824232,"threshold_uncertainty_score":0.9977371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070974935185755,"score_gpt":0.229980265916892,"score_spread":0.2192705165650345,"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."}}