{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000186285,0.00005451376,0.0001014797,0.00002652005,0.0008786651,0.00002740049,0.0003684298,0.00005104551,0.002452058],"category_scores_gemma":[0.000006461492,0.00005166482,0.00007982994,0.00005156026,0.0006656492,0.0001742761,0.00001924534,0.00007259671,0.0000708805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006119214,"about_ca_system_score_gemma":0.00009067901,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01301144,"about_ca_topic_score_gemma":0.004897021,"domain_scores_codex":[0.9993369,0.00005536648,0.00007512104,0.0001067592,0.000259719,0.0001661514],"domain_scores_gemma":[0.9995121,0.0001353431,0.00009019038,0.00009811686,0.0001010044,0.00006319491],"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":[0.00003026738,0.00002375505,0.00004192883,0.000002793647,0.00002823827,0.000003750057,0.006816755,0.000009842604,0.00009056613,0.9925476,0.0001921905,0.000212305],"study_design_scores_gemma":[0.001091602,0.000159374,0.001313142,0.0001050685,0.00007017933,0.000002629502,0.02942665,0.0001075257,0.0006448817,0.06050796,0.9062764,0.0002945551],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5525882,0.00001775113,0.000005323312,0.000285004,0.0000627974,0.00005437899,0.000004170533,0.00001374825,0.4469686],"genre_scores_gemma":[0.9558302,0.00006560048,0.00007179242,0.0000462095,0.00003220556,4.75564e-8,0.000003691314,0.000003072325,0.04394716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9320396,"threshold_uncertainty_score":0.9984598,"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."}}