{"id":"W2166591738","doi":"","title":"U.S. State and Canada Province Boundaries","year":2008,"lang":"en","type":"article","venue":"Offline data","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Feature (linguistics); Class (philosophy); Generalization; Boundary (topology); State (computer science); Set (abstract data type); Geography; Computer science; Mathematics; Artificial intelligence; Algorithm; Mathematical analysis; Linguistics","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":[0.0003155578,0.0006269173,0.0005317633,0.005446309,0.00256731,0.002414366,0.001172816,0.0004369991,0.03550507],"category_scores_gemma":[0.003835743,0.0002967595,0.0003544323,0.01666572,0.0005551224,0.0008793184,0.0008543032,0.001010666,0.009009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01655253,"about_ca_system_score_gemma":0.03420358,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9847959,"about_ca_topic_score_gemma":0.9915264,"domain_scores_codex":[0.999037,0.00004184387,0.00003976843,0.0001188127,0.0005392446,0.0002233248],"domain_scores_gemma":[0.9946444,0.0002020576,0.0002078226,0.0001640503,0.004418129,0.0003634264],"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":[0.00005367813,0.0000168224,0.01541674,0.00009663049,0.00001870345,0.00006102603,0.0002764556,0.0005758557,0.00007121457,0.006039463,0.9652984,0.01207513],"study_design_scores_gemma":[0.00003235589,0.000009164581,0.1184731,0.0001844811,0.00002255227,0.00007786729,0.001750443,0.001017598,0.0004371187,0.001323194,0.8766119,0.00006017474],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008267396,0.0003491055,0.0004027971,0.0005813694,0.00009189056,0.00006667696,0.9088007,0.0002349974,0.08120511],"genre_scores_gemma":[0.07777993,0.001008508,0.002184322,0.0003831266,0.00003682015,0.0001805093,0.8542969,0.000182735,0.06394708],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03550507,"threshold_uncertainty_score":0.1200976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04688775066298379,"score_gpt":0.1988321645101206,"score_spread":0.1519444138471368,"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."}}