{"id":"W4286796884","doi":"10.46692/9781447340201.002","title":"Childhood and imperial training, 1875–1914","year":2019,"lang":"en","type":"other","venue":"","topic":"Historical Education Studies Worldwide","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Training (meteorology); History; Computer science; Psychology; Geography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004157168,0.0003905935,0.0002700589,0.0009714654,0.009344579,0.002741158,0.0004615834,0.001492156,0.03660431],"category_scores_gemma":[0.001165839,0.0003120608,0.000105215,0.001936296,0.005361012,0.001669977,0.003433787,0.003331048,0.006639329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01459442,"about_ca_system_score_gemma":0.00517178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1639914,"about_ca_topic_score_gemma":0.5409163,"domain_scores_codex":[0.9993037,0.0001590701,0.0000321577,0.00009316683,0.0001160509,0.0002958253],"domain_scores_gemma":[0.999697,0.00004422121,0.00004321051,0.00001606836,0.00004319707,0.0001564048],"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":[0.00008778791,0.00009477031,0.005361291,0.0004318423,0.00001158691,0.000934756,0.1472427,0.0001475224,0.0001585378,0.3047215,0.4467387,0.094069],"study_design_scores_gemma":[0.000001839871,0.000007223049,0.004384744,0.0001682693,8.905e-7,0.0000667366,0.004624087,0.000003965706,0.00002354851,0.000464759,0.9902513,0.000002553576],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03019167,0.03404704,0.00008389274,0.02127287,0.001581111,0.00003320353,0.0006857631,0.00002049422,0.912084],"genre_scores_gemma":[0.2427076,0.01972472,0.0001741922,0.004911961,0.0007116185,0.00006221656,0.0003778918,0.00006329954,0.7312666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1639914,"threshold_uncertainty_score":0.3260737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02187592189111078,"score_gpt":0.31098122649084,"score_spread":0.2891053045997293,"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."}}