{"id":"W4366682605","doi":"10.1080/07078552.2023.2186022","title":"Beyond the politics of love: the challenges of paramilitary violence and the land question for Colombia’s President Gustavo Petro","year":2023,"lang":"en","type":"article","venue":"Studies in Political Economy","topic":"Agriculture, Land Use, Rural Development","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Politics; Redistribution (election); Restitution; Presidential system; State (computer science); Government (linguistics); Power (physics); Presidential election; Political economy; Political science; Sociology; Public administration; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001442599,0.0002156219,0.0002910325,0.0006164258,0.0101885,0.0102105,0.0004567716,0.002205822,0.006747425],"category_scores_gemma":[0.00236611,0.0001044944,0.0001263329,0.0005883034,0.009229951,0.00318761,0.002843142,0.003413634,0.0004250547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008867163,"about_ca_system_score_gemma":0.003856376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04429471,"about_ca_topic_score_gemma":0.1177936,"domain_scores_codex":[0.9984995,0.0007283532,0.00001741426,0.00008972762,0.0001332004,0.0005317912],"domain_scores_gemma":[0.9985138,0.0006911055,0.0001636799,0.00005512202,0.0001844277,0.00039193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001622831,0.00007954832,0.01547985,0.0004305303,0.00002292806,0.001622936,0.1204431,0.0006199976,0.0006952028,0.7145289,0.06492537,0.08098935],"study_design_scores_gemma":[0.00001760088,0.00004206682,0.02830477,0.0006240255,0.00001280101,0.0003488066,0.2701249,0.0003484398,0.0003314427,0.05990686,0.6398779,0.00006044218],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2239155,0.04681907,0.0008993354,0.3050671,0.001275753,0.00002300773,0.000105198,0.00002119996,0.4218738],"genre_scores_gemma":[0.9753157,0.005803232,0.0001320385,0.005458879,0.0003973302,0.00001027324,0.00001899628,0.00001588152,0.01284774],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04429471,"threshold_uncertainty_score":0.08807379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03175794136494437,"score_gpt":0.2786321399268684,"score_spread":0.2468741985619241,"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."}}