{"id":"W7011296435","doi":"","title":"2007 Mapquest Road Atlas United States, Canada, Mexico","year":2007,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Atlas (anatomy); Context (archaeology); Feature (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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001763902,0.000885245,0.0006411279,0.005615987,0.002074245,0.002351396,0.000991077,0.0006158956,0.1519833],"category_scores_gemma":[0.0011563,0.0004245864,0.0002830175,0.0151175,0.0002945221,0.001141188,0.0007461082,0.0009086776,0.05685075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006950543,"about_ca_system_score_gemma":0.02081504,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9171083,"about_ca_topic_score_gemma":0.95527,"domain_scores_codex":[0.9997224,0.00001019887,0.00001288244,0.0000494595,0.0001301853,0.00007489866],"domain_scores_gemma":[0.9989432,0.00002526921,0.00005279726,0.00004216898,0.0008639336,0.00007276917],"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":[0.000008632996,0.000007752485,0.001450534,0.00008158725,0.000002876973,0.0000148152,0.00005352909,0.00007034247,0.00002355279,0.0005437418,0.9852675,0.01247504],"study_design_scores_gemma":[0.000007893579,0.000002617022,0.0201894,0.0001218008,0.000007288596,0.0000214529,0.0003288676,0.0000958231,0.00006129649,0.000139396,0.9790167,0.000007414723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002731148,0.0008547791,0.0004531975,0.0008350964,0.0004158969,0.0001714142,0.7266794,0.001111767,0.2667473],"genre_scores_gemma":[0.01186704,0.00370836,0.003282909,0.0002513271,0.0001075277,0.0004084996,0.5311142,0.0006736346,0.4485865],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8480167,"threshold_uncertainty_score":0.5084347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005570613864509077,"score_gpt":0.1889175327096312,"score_spread":0.1833469188451221,"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."}}