{"id":"W97160517","doi":"","title":"Law and Border: The Seven-Hundred-Mile-Fence Proposal and the Rule of Law","year":2008,"lang":"en","type":"article","venue":"ThinkTech (Texas Tech University)","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fence (mathematics); Mile; Law; Political science; Geography; Engineering; Geodesy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006445201,0.0003933648,0.0004530794,0.001175126,0.01162584,0.01128323,0.0019372,0.01638048,0.005392401],"category_scores_gemma":[0.01157953,0.0003864228,0.000877661,0.0008683876,0.02424715,0.01171418,0.00544446,0.0127413,0.0008654635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007794751,"about_ca_system_score_gemma":0.01405563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03161616,"about_ca_topic_score_gemma":0.02668468,"domain_scores_codex":[0.9940981,0.001920884,0.0002019566,0.000812915,0.001201072,0.001765204],"domain_scores_gemma":[0.9978378,0.000986213,0.0002222612,0.0002255083,0.0003821587,0.0003458936],"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":[0.000005618139,0.000007249627,0.0001408552,0.000007739963,0.000001075293,0.00004881647,0.0005537052,0.00005613434,0.00002107097,0.9927953,0.004515256,0.001847198],"study_design_scores_gemma":[0.00009323761,0.00008667765,0.001426709,0.0004952982,0.0000260987,0.0002154168,0.004606044,0.000775551,0.0003171598,0.6645903,0.327315,0.00005244942],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04087002,0.007486334,0.02076893,0.3547221,0.003841674,0.0001274607,0.0001290581,0.0001099246,0.5719446],"genre_scores_gemma":[0.7499568,0.003247172,0.01026511,0.1316981,0.001772406,0.0004821374,0.0001275284,0.0000982686,0.1023525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03161616,"threshold_uncertainty_score":0.06286424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01011601170755067,"score_gpt":0.2374691712266054,"score_spread":0.2273531595190548,"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."}}