{"id":"W6948494133","doi":"10.5281/zenodo.10060555","title":"Breaking Barriers: Bangladesh's Vision for Visa-Free Travel with India","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Government (linguistics); Work (physics); Foreign policy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000358623,0.000135156,0.0001112125,0.0001196225,0.001057127,0.0002907019,0.0006524672,0.00009768828,0.0004501143],"category_scores_gemma":[0.0003013294,0.00012992,0.00005865573,0.0003232678,0.0001093245,0.00001610341,0.0003593649,0.0001106861,0.0003040693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002794434,"about_ca_system_score_gemma":0.000007807791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007625183,"about_ca_topic_score_gemma":0.000001550882,"domain_scores_codex":[0.9988315,0.00008690512,0.0001553377,0.0003934016,0.0001956112,0.0003372998],"domain_scores_gemma":[0.9991138,0.00001125702,0.00005602132,0.0004112572,0.0002518496,0.0001557929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006345547,0.00009668295,0.00004549956,0.0001264688,0.0001398881,0.00001378052,0.0009851246,0.0001036991,0.7884813,0.00091301,0.1721509,0.03630915],"study_design_scores_gemma":[0.001786842,0.001027331,0.001657277,0.00004129271,0.00003004819,0.00005338173,0.0003721402,0.0005489023,0.03319709,0.0001194813,0.9608772,0.0002889854],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8865356,0.0002589924,0.05739323,0.001994051,0.0004446235,0.002054229,0.00155932,0.001233056,0.04852685],"genre_scores_gemma":[0.9937409,0.00005384181,0.0005074753,0.0002069788,0.0002527371,1.948839e-7,0.003381523,0.000996777,0.0008596109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7887264,"threshold_uncertainty_score":0.8130673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01918843472206858,"score_gpt":0.2368638338821527,"score_spread":0.2176753991600842,"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."}}