{"id":"W7011521823","doi":"","title":"The 2014 midsize easy to read road atlas : United States, Canada, Mexico","year":2013,"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); Field (mathematics); Data collection","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":[0.0002868205,0.001102529,0.0006280186,0.006808177,0.002517539,0.002888008,0.001322001,0.0008859133,0.208825],"category_scores_gemma":[0.002284744,0.0006102349,0.0003884568,0.01608793,0.0004064483,0.001674723,0.001470388,0.001256284,0.080902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008266651,"about_ca_system_score_gemma":0.02696802,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9178575,"about_ca_topic_score_gemma":0.956131,"domain_scores_codex":[0.9995639,0.00001532389,0.00001820632,0.00005181936,0.0002295461,0.0001213013],"domain_scores_gemma":[0.998129,0.00005649773,0.00008432883,0.00008932231,0.001457511,0.0001833994],"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":[0.00000637442,0.000005974283,0.0006247578,0.00006460927,0.000001646624,0.00001020962,0.00005238939,0.00008173766,0.00001917104,0.0005383066,0.9871696,0.0114253],"study_design_scores_gemma":[0.000004886132,0.000001658529,0.0075763,0.0001042392,0.000003695224,0.00001216127,0.000245349,0.00004858978,0.00004889835,0.0002267513,0.9917196,0.00000792086],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001674889,0.0008874512,0.0009080551,0.001102385,0.0006832444,0.000247122,0.6579154,0.002051209,0.3345303],"genre_scores_gemma":[0.01065898,0.002872233,0.004658928,0.0005465896,0.0001931249,0.0005477862,0.3441684,0.001821229,0.6345327],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.208825,"threshold_uncertainty_score":0.6985891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004799904385654028,"score_gpt":0.1801822739493109,"score_spread":0.1753823695636568,"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."}}