{"id":"W4408394851","doi":"10.15353/whr.v11.6413","title":"Front Matter","year":2025,"lang":"en","type":"paratext","venue":"Waterloo Historical Review","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Front (military); Physics; Meteorology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006148996,0.001316946,0.0007427622,0.002242085,0.002342719,0.005649013,0.001142793,0.002943275,0.8329209],"category_scores_gemma":[0.001994274,0.0004793265,0.0005027213,0.00262416,0.001317904,0.002435955,0.002217537,0.00235203,0.7476228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003034272,"about_ca_system_score_gemma":0.006121977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03381196,"about_ca_topic_score_gemma":0.0717082,"domain_scores_codex":[0.999419,0.00004628757,0.00002379442,0.00008718715,0.000302029,0.0001216797],"domain_scores_gemma":[0.9989917,0.0001239836,0.00004866876,0.00006856734,0.0005189354,0.000248079],"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":[0.00001507428,0.000008151445,0.00003258769,0.0001396843,0.000001414372,0.00002307054,0.00002223218,0.00001133744,0.00006167654,0.002291765,0.9559577,0.04143532],"study_design_scores_gemma":[0.000002916102,0.000002095551,0.00006277645,0.00006661774,8.391784e-7,0.000007978618,0.00002184829,0.000004304498,0.00002147605,0.0001841662,0.9996238,0.000001168142],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001701564,0.006192458,0.0001233741,0.00744775,0.006144086,0.00004844054,0.001909578,0.0002273887,0.9777368],"genre_scores_gemma":[0.0004942966,0.002242903,0.0000662482,0.00153861,0.0006582855,0.00001237123,0.0003533795,0.00005737499,0.9945766],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1670791,"threshold_uncertainty_score":0.238318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02512499635389759,"score_gpt":0.286418505710949,"score_spread":0.2612935093570514,"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."}}