{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002481108,0.001049323,0.0007119101,0.009188474,0.00764341,0.007029497,0.001653557,0.001313192,0.01266909],"category_scores_gemma":[0.007056394,0.0004194945,0.0003582144,0.01993031,0.01035089,0.003789033,0.001671856,0.002380052,0.0007972532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07656343,"about_ca_system_score_gemma":0.1114998,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9902497,"about_ca_topic_score_gemma":0.9952075,"domain_scores_codex":[0.9982426,0.0002739083,0.00007746507,0.0001574427,0.0009323674,0.0003162174],"domain_scores_gemma":[0.9955989,0.0007567182,0.0002296726,0.0001276169,0.002879703,0.0004073721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000764643,0.0000153118,0.006049672,0.004901471,0.0000746685,0.0002813425,0.02983551,0.0004092205,0.0002592236,0.08020421,0.5560198,0.3218731],"study_design_scores_gemma":[0.000003240888,0.000005121386,0.01640437,0.004829487,0.00004093119,0.0001298117,0.01312373,0.00004150833,0.00006850869,0.003499914,0.9618095,0.00004386526],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.001838945,0.9506837,0.0002076606,0.02543185,0.002494496,0.000009530322,0.0004475575,0.00002672774,0.01885963],"genre_scores_gemma":[0.07639045,0.9005096,0.0009138024,0.006466834,0.001709462,0.00002304738,0.0005493114,0.00006397961,0.0133735],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07656343,"threshold_uncertainty_score":0.5555091,"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."}}