{"id":"W2802252669","doi":"10.25336/csp29377","title":"Bigger, bolder, better: Historical images and Canadian population history","year":2018,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Population; History; Demography; Economic history; Geography; Economics; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0004175871,0.0001195196,0.0002136548,0.001778828,0.001411798,0.00007829192,0.000122707,0.0001588262,0.0002567668],"category_scores_gemma":[0.0004090155,0.0001744249,0.00003637928,0.0003509433,0.0005723524,0.0003354692,0.00001417652,0.0001378363,0.00003654201],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05602434,"about_ca_system_score_gemma":0.00130654,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999029,"about_ca_topic_score_gemma":0.9999972,"domain_scores_codex":[0.998563,0.0001254142,0.0002616206,0.0003045254,0.0002039531,0.0005414673],"domain_scores_gemma":[0.9989184,0.00003763647,0.00007371726,0.0001607242,0.0001231583,0.000686322],"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":[0.000006749347,0.00001100222,0.3397765,0.00003810672,0.00003574732,0.0000789217,0.02842537,0.000001827743,0.000003796151,0.01335381,0.5440556,0.07421252],"study_design_scores_gemma":[0.00008808906,0.00001171189,0.3008628,0.00002087951,0.00001115422,0.000001355068,0.0006381204,0.000005961178,8.837084e-8,0.000828673,0.697375,0.0001561814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8008153,0.0477109,0.000008705433,0.0200585,0.01751415,0.001079134,0.0001105316,0.000175003,0.1125277],"genre_scores_gemma":[0.9898764,0.0005733692,0.000110785,0.001072094,0.0008359213,0.000017466,0.00003142181,0.00001771099,0.007464818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1890611,"threshold_uncertainty_score":0.9998882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04709636624125547,"score_gpt":0.2892964967437588,"score_spread":0.2422001305025034,"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."}}