{"id":"W4249146125","doi":"10.1111/cag.12149","title":"Cartography: Visualization of spatial data, 3rd edition","year":2015,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geographer; Citation; Visualization; Cartography; Library science; Information retrieval; Computer science; Geography; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.004459827,0.00754105,0.005146108,0.01092423,0.001612221,0.01412733,0.006203049,0.003119469,0.1325324],"category_scores_gemma":[0.01193331,0.008839335,0.005062955,0.01569231,0.002747516,0.008229756,0.002775996,0.005699121,0.07657903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00212522,"about_ca_system_score_gemma":0.005593613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08636316,"about_ca_topic_score_gemma":0.0896249,"domain_scores_codex":[0.9974842,0.0003485224,0.0005813395,0.0004891101,0.0009631407,0.0001336355],"domain_scores_gemma":[0.9877027,0.00624788,0.0003885971,0.001569282,0.003635169,0.000456463],"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":[0.00008822729,0.000082664,0.0005839212,0.001878168,0.0001552443,0.0002589796,0.0006326049,0.004415656,0.002243917,0.008296068,0.8030446,0.1783199],"study_design_scores_gemma":[0.0001085054,0.00004308487,0.003344322,0.001219735,0.0002170248,0.001207534,0.0002753408,0.0118223,0.002515009,0.01630235,0.9627414,0.0002033743],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.002164264,0.04182521,0.609243,0.003520044,0.004549582,0.0006470786,0.09747063,0.185811,0.05476906],"genre_scores_gemma":[0.01474287,0.04713628,0.6290586,0.001690662,0.001958286,0.001575651,0.1187464,0.08388459,0.1012067],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1325324,"threshold_uncertainty_score":0.4433652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02759632045067935,"score_gpt":0.2664288192469265,"score_spread":0.2388324987962471,"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."}}