{"id":"W1955548128","doi":"10.5334/sta.fy","title":"Medellín, from Theater of War to Security Laboratory","year":2015,"lang":"en","type":"article","venue":"Stability International Journal of Security and Development","topic":"Conflict, Peace, and Violence in Colombia","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Demobilization; Normalization (sociology); Negotiation; State security; Political science; Sustainability; Psychological intervention; State (computer science); Public administration; Sociology; Law; Computer science; Psychology; Social science; Politics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002560604,0.0006683605,0.0002072215,0.0009017586,0.005145107,0.002855012,0.0006429131,0.0009475581,0.08848054],"category_scores_gemma":[0.0006941202,0.0002248333,0.0001509468,0.0004171441,0.00111381,0.000991831,0.002363014,0.001867414,0.01003632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004117574,"about_ca_system_score_gemma":0.003954034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02174877,"about_ca_topic_score_gemma":0.06515213,"domain_scores_codex":[0.9997347,0.00003550678,0.00001087817,0.00006441292,0.00007073747,0.00008376707],"domain_scores_gemma":[0.9993879,0.00003109855,0.00003664759,0.00001906655,0.0001096068,0.0004156256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002642509,0.0001264382,0.009326276,0.001006038,0.00001119725,0.002865028,0.009771869,0.0001581635,0.004620707,0.03079046,0.7031068,0.2379528],"study_design_scores_gemma":[0.000003449188,0.00002008639,0.005864869,0.00007935068,0.000002038519,0.0004192148,0.002423495,0.00002904223,0.000443083,0.0004708226,0.9902365,0.000008130928],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.073068,0.0423262,0.002511733,0.09028932,0.01295302,0.0003158174,0.00318645,0.00119469,0.7741547],"genre_scores_gemma":[0.1967332,0.01305032,0.003252051,0.004219946,0.001728143,0.0001250435,0.0007739426,0.0002458688,0.7798715],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08848054,"threshold_uncertainty_score":0.2959968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04482865725455343,"score_gpt":0.3302853487997769,"score_spread":0.2854566915452235,"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."}}