{"id":"W4200059614","doi":"10.18357/bigr31202120260","title":"Human Folly and Border Fences: Looking to Non-Human Actors at the Indo–Bangladesh Border","year":2021,"lang":"en","type":"article","venue":"Borders in Globalization Review","topic":"Cross-Border Cooperation and Integration","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agency (philosophy); Human security; Human rights; State (computer science); Political science; Actor–network theory; Environmental ethics; Sociology; Law; Social science","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009548839,0.0002041588,0.0003110532,0.00007326147,0.001327121,0.0003915918,0.0002649928,0.000123674,0.003410659],"category_scores_gemma":[0.0007756886,0.0001700692,0.00007632787,0.001744642,0.0002103125,0.0003356414,0.0001176245,0.0001381674,0.00003275303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002465132,"about_ca_system_score_gemma":0.0003232343,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001255733,"about_ca_topic_score_gemma":0.07174398,"domain_scores_codex":[0.9977593,0.0003967499,0.0005493956,0.0004460652,0.0005127729,0.0003357425],"domain_scores_gemma":[0.9988678,0.0000495487,0.0001628684,0.0003195712,0.0004746231,0.0001255996],"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":[0.00002189734,0.0006064281,0.137159,0.001869071,0.0001749185,0.00003703894,0.04217568,0.0005597668,0.001516785,0.3488575,0.3120198,0.155002],"study_design_scores_gemma":[0.0003413146,0.00002658892,0.007503253,0.001064426,0.00003322365,0.000001830811,0.002360117,0.00003393146,0.00005062404,0.0002303986,0.9880792,0.0002750196],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2475756,0.1686609,0.007665222,0.1233964,0.002359197,0.009569125,0.00009518245,0.000539033,0.4401393],"genre_scores_gemma":[0.8639694,0.0622172,0.0005344346,0.05094382,0.0003612154,0.0003634709,0.0004825266,0.0000761402,0.02105175],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6760594,"threshold_uncertainty_score":0.999973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01939421970110754,"score_gpt":0.4308559712874059,"score_spread":0.4114617515862983,"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."}}