{"id":"W7107962065","doi":"10.3886/e240750","title":"HIFLD OPEN US International Boundaries","year":2025,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Boundary (topology); Census; Shapefile; Commission; Representation (politics); Geospatial analysis","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.001495105,0.0008050873,0.0009144623,0.0007638538,0.0005769128,0.01038228,0.03019908,0.0005509381,0.005667788],"category_scores_gemma":[0.002749181,0.0008592511,0.0001056043,0.0007058951,0.0007942017,0.003363437,0.03806759,0.001241832,0.005469049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005546117,"about_ca_system_score_gemma":0.001709054,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01614145,"about_ca_topic_score_gemma":0.003687682,"domain_scores_codex":[0.9948367,0.0001188948,0.0008603986,0.002199845,0.001264154,0.0007199506],"domain_scores_gemma":[0.9895691,0.0002061073,0.0007741224,0.008977594,0.0002709578,0.0002021118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001373096,0.0001635233,0.0000573275,0.0001111912,0.0005707318,0.0001183446,0.00001493384,6.142396e-7,0.00001723637,0.0005702539,0.9978094,0.0004291239],"study_design_scores_gemma":[0.0008989201,0.00002432944,0.00007571294,0.0004997494,0.0003537186,0.00003100524,0.00001763169,0.000026821,0.00002784486,0.0002985821,0.9969178,0.0008278305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001899821,0.0003984192,0.000006545296,0.001032522,0.005521704,0.0008457585,0.9889123,0.0001924638,0.003071306],"genre_scores_gemma":[0.000006548195,0.0003508184,0.0008701759,0.002093327,0.0009065391,0.00009423642,0.9914718,0.00008942627,0.004117182],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01245376,"threshold_uncertainty_score":0.9993858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07260725267302663,"score_gpt":0.3868327609771777,"score_spread":0.3142255083041511,"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."}}