{"id":"W2339189046","doi":"","title":"The Law of Armed Conflict as Soft Power: Optimizing Strategic Choice","year":2000,"lang":"en","type":"article","venue":"CentAUR (University of Reading)","topic":"International Law and Human Rights","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Law; Choice of law; Political science; Power (physics); Soft law; Jus ad bellum; Law and economics; International law; Use of force; Conflict of laws; Economics; Physics","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":[0.005509235,0.001260233,0.0009797739,0.00128747,0.001182903,0.005851916,0.00142591,0.002505898,0.01285373],"category_scores_gemma":[0.0128593,0.0005461963,0.0005886189,0.001883441,0.005676989,0.005852762,0.003006665,0.00291527,0.001190466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003779494,"about_ca_system_score_gemma":0.00465961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00298921,"about_ca_topic_score_gemma":0.004414828,"domain_scores_codex":[0.9958696,0.002778727,0.0001208293,0.0003905946,0.0003943295,0.0004458042],"domain_scores_gemma":[0.9916589,0.005914551,0.0009301243,0.0005654214,0.0003899496,0.0005410932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001416777,0.00007707718,0.0009565216,0.0001299558,0.0000703487,0.00007272558,0.0002108209,0.08899704,0.0002866891,0.8868291,0.003257659,0.01897035],"study_design_scores_gemma":[0.00004147421,0.00006511556,0.0002488158,0.0000547341,0.00001235396,0.00002040775,0.0001164557,0.06846444,0.0001023963,0.9257905,0.00506842,0.00001495076],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1297612,0.009223601,0.4785206,0.01849177,0.0004600651,0.0005138112,0.0005727487,0.0002737704,0.3621826],"genre_scores_gemma":[0.9489915,0.00342305,0.02887271,0.000538615,0.000220596,0.0003258971,0.0001023753,0.00006836913,0.01745684],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01285373,"threshold_uncertainty_score":0.04300004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02031369117015114,"score_gpt":0.2574650841970072,"score_spread":0.2371513930268561,"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."}}