{"id":"W4391373422","doi":"10.51644/9781771121835-010","title":"Shaping Soldiers in Niagara and Toronto","year":2017,"lang":"en","type":"book-chapter","venue":"","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"History; Media studies; Geography; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009034063,0.0006450271,0.0003908206,0.001461314,0.04912315,0.009031142,0.001701985,0.002165189,0.02000094],"category_scores_gemma":[0.001652764,0.0004576916,0.0002932333,0.003069077,0.01749815,0.002260191,0.005036967,0.004497223,0.0008845777],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1476377,"about_ca_system_score_gemma":0.09877977,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9866568,"about_ca_topic_score_gemma":0.9977761,"domain_scores_codex":[0.9983632,0.0002962648,0.00002108577,0.0001339877,0.0002555712,0.0009299339],"domain_scores_gemma":[0.9993595,0.0001067272,0.00004407049,0.00002705122,0.0001372436,0.0003253367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004425463,0.00001456552,0.002426863,0.00007535085,0.000008383494,0.0006313456,0.453313,0.000196757,0.000209106,0.4601281,0.05983783,0.02311455],"study_design_scores_gemma":[0.000005827213,0.00001039516,0.006958679,0.0002280558,0.00001152631,0.0001101248,0.2788425,0.00009112192,0.0001832003,0.007447184,0.7060819,0.00002940766],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1336717,0.009098821,0.0009356416,0.02233594,0.0008277526,0.00007492903,0.0002453138,0.0000414602,0.8327684],"genre_scores_gemma":[0.5861886,0.004222148,0.0005653329,0.001461262,0.00007288509,0.00003334661,0.00008793012,0.00009453265,0.4072739],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1476377,"threshold_uncertainty_score":0.9886195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03648946688966553,"score_gpt":0.2639807321208738,"score_spread":0.2274912652312083,"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."}}