{"id":"W1503622984","doi":"","title":"The Art of Minor Operations: Canadian Trench Raiding, 1915-1918","year":2015,"lang":"en","type":"article","venue":"Scholars Commons (Wilfrid Laurier University)","topic":"World Wars: History, Literature, and Impact","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Minor (academic); Trench; Computer science; Political science; Law; Materials science; Nanotechnology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009744254,0.0001554897,0.0001933698,0.0004701675,0.002172102,0.0002649374,0.000856258,0.000138291,0.0001293816],"category_scores_gemma":[0.000458047,0.0001454494,0.0001216618,0.001163096,0.0006164014,0.0009942453,0.00006050431,0.0003940064,0.00007633254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000889016,"about_ca_system_score_gemma":0.002486422,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08824866,"about_ca_topic_score_gemma":0.8219441,"domain_scores_codex":[0.9981322,0.0005454669,0.0001838802,0.000231556,0.000406958,0.0004999984],"domain_scores_gemma":[0.9982315,0.000119866,0.00007778747,0.0004643721,0.0003431705,0.0007632724],"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":[0.0001067828,0.0001549865,0.0417764,0.000008426341,0.0001733769,0.0001132447,0.05145092,0.00008751481,0.0000969152,0.3214511,0.5813375,0.003242881],"study_design_scores_gemma":[0.000393925,0.00005750804,0.001104084,0.00002145948,0.00003737904,0.000001475386,0.007616257,0.00001024902,0.00004147277,0.0002449179,0.9902933,0.0001779327],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2178246,0.001176773,0.00002317494,0.006631698,0.001285575,0.0004031947,0.0001627481,0.00008115666,0.772411],"genre_scores_gemma":[0.8679956,0.00008208943,0.0002558586,0.0002322268,0.0001507765,0.000001229084,0.00003171296,0.00001410376,0.1312364],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7336954,"threshold_uncertainty_score":0.9991269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02461214883477213,"score_gpt":0.2474270682305227,"score_spread":0.2228149193957505,"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."}}