{"id":"W4411520023","doi":"10.31219/osf.io/cfrzs_v1","title":"Cities, Conflict, and Corridors","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Social Sciences and Humanities Research Council of Canada","keywords":"Geography; Fragmentation (computing); Belligerent; Economic geography; Multitude; State (computer science); Political geography; Geographical distance; Political science; Sociology; Demography; Law; Ecology; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0006182801,0.0002570121,0.0003003895,0.001811845,0.0009507395,0.002670021,0.0003922089,0.0004885829,0.007649083],"category_scores_gemma":[0.005800288,0.000236619,0.0004525923,0.005184019,0.003076032,0.002501848,0.003044296,0.00076332,0.000328531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023069,"about_ca_system_score_gemma":0.0006750138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01388099,"about_ca_topic_score_gemma":0.01642913,"domain_scores_codex":[0.9991767,0.0004222297,0.00004594921,0.0001273091,0.00006934009,0.0001584094],"domain_scores_gemma":[0.9952946,0.001663893,0.001979141,0.0002877635,0.0001990275,0.0005756052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002540973,0.0001028881,0.792359,0.0001251661,0.0002733121,0.0003684489,0.002410015,0.03166238,0.0002790857,0.1498014,0.001454234,0.02090991],"study_design_scores_gemma":[0.0001891581,0.0002812291,0.7421518,0.0003470792,0.0002772476,0.0009494211,0.01454134,0.03389281,0.0003750159,0.1796033,0.02727148,0.0001200534],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749342,0.001072613,0.006310289,0.001408592,0.00001653628,0.00002844708,0.0007053978,0.00004017405,0.01548375],"genre_scores_gemma":[0.9980909,0.0003398912,0.0005215641,0.00003190345,0.000006968019,0.00001697138,0.0001312401,0.000005005053,0.0008553262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01388099,"threshold_uncertainty_score":0.02760041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04776770110399491,"score_gpt":0.3139599631462217,"score_spread":0.2661922620422268,"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."}}