{"id":"W7011443606","doi":"","title":"The 2013 midsize road atlas : United States, Canada, Mexico","year":2013,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Medical History and Innovations","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Atlas (anatomy); Field (mathematics)","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":[0.0002615277,0.001311299,0.0007180137,0.0099811,0.002832069,0.003699654,0.001129058,0.0009109075,0.1501403],"category_scores_gemma":[0.001663013,0.0005489889,0.0004413385,0.0350177,0.0004738505,0.001950618,0.001478067,0.001173502,0.06055467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01019418,"about_ca_system_score_gemma":0.03272745,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.922847,"about_ca_topic_score_gemma":0.9505119,"domain_scores_codex":[0.999567,0.00001422941,0.00002165154,0.00005740932,0.0001986168,0.0001411058],"domain_scores_gemma":[0.9986867,0.00004015255,0.00009880234,0.00004650231,0.0009571426,0.000170612],"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":[0.000007492969,0.000006446285,0.001252979,0.0001043265,0.000002238126,0.00001646674,0.00008283942,0.00009342247,0.00001929853,0.0007973282,0.9818887,0.01572842],"study_design_scores_gemma":[0.000004089142,0.000001862934,0.01315841,0.0001595006,0.000004388725,0.00002212476,0.0005413133,0.00005593415,0.00003832273,0.0002373356,0.9857683,0.000008596361],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003190495,0.003603111,0.000534845,0.001852592,0.0009947912,0.0001768178,0.6692827,0.001688997,0.3186756],"genre_scores_gemma":[0.01456013,0.01172659,0.002709048,0.0005837085,0.0002527897,0.0004151608,0.3420032,0.0009894049,0.62676],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1501403,"threshold_uncertainty_score":0.5022693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007436007940364001,"score_gpt":0.1634747422806128,"score_spread":0.1560387343402488,"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."}}