{"id":"W128581139","doi":"10.1017/cbo9780511497353.003","title":"1933–1934: parallel interests?","year":2005,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Historical Geopolitical and Social Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001553005,0.0003243461,0.0004502682,0.0001139285,0.0007794813,0.00006322766,0.0007474652,0.0007688186,0.00006792486],"category_scores_gemma":[0.00004735461,0.0003975633,0.0003722103,0.000013739,0.001106989,0.0001035955,0.0002635857,0.0006785034,0.0001600851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008696398,"about_ca_system_score_gemma":0.0003428344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003078575,"about_ca_topic_score_gemma":0.0004003937,"domain_scores_codex":[0.9981301,0.000101637,0.0002199804,0.0004714373,0.0005032864,0.0005734977],"domain_scores_gemma":[0.9986207,0.0001423658,0.0001563139,0.0003310093,0.0001999092,0.0005496879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002739446,0.0000136834,0.000001127155,0.00001677855,0.00005301851,0.0001144402,0.0004623864,8.05388e-7,3.030635e-7,0.9576983,0.03928487,0.002326824],"study_design_scores_gemma":[0.000225972,0.00002668754,0.00000461589,0.00005645067,0.0001113574,9.099686e-7,0.0001663658,0.00001555192,4.14517e-7,0.0002844854,0.9986572,0.0004499989],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002844931,0.0001155763,0.0003160295,0.000124329,0.0005320352,0.0003146681,0.0001592897,0.0002314856,0.9981781],"genre_scores_gemma":[0.0006299056,0.0002781548,0.0001476397,0.0002139253,0.001013437,6.42522e-7,0.00003008042,0.00003788847,0.9976483],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9593723,"threshold_uncertainty_score":0.9998477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02819289050423384,"score_gpt":0.2377410083409504,"score_spread":0.2095481178367165,"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."}}