{"id":"W2125658481","doi":"10.1177/0309132513514005","title":"Cartography II","year":2013,"lang":"en","type":"article","venue":"Progress in Human Geography","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Geospatial analysis; Context (archaeology); Indigenous; Representation (politics); Social media; State (computer science); Geography; Convergence (economics); Cartography; Political science; Sociology; Regional science; Data science; Computer science; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006128644,0.0006300362,0.0003952167,0.003891609,0.00183248,0.006180574,0.0008169338,0.001076714,0.08716188],"category_scores_gemma":[0.002294359,0.0002572219,0.0005067828,0.006783587,0.002572563,0.002715541,0.001608333,0.001248982,0.01888073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002556735,"about_ca_system_score_gemma":0.002147705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01308851,"about_ca_topic_score_gemma":0.01422929,"domain_scores_codex":[0.9990194,0.0003718308,0.00004799668,0.0001943178,0.000284184,0.00008236561],"domain_scores_gemma":[0.9992512,0.0002575789,0.00007058321,0.0001749327,0.0002023488,0.00004330994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003233786,0.00001236078,0.001664257,0.0007777773,0.00002526313,0.0003754695,0.004093747,0.001247931,0.0005292569,0.5451359,0.1908928,0.2552129],"study_design_scores_gemma":[0.000001150721,0.000004151207,0.0008140499,0.0001920834,0.000002885874,0.0001901562,0.0009123945,0.0001214927,0.00008906705,0.01504097,0.9826255,0.000006094068],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004085571,0.02449003,0.02544686,0.008028117,0.004631449,0.000168253,0.002979863,0.0005139707,0.9296559],"genre_scores_gemma":[0.1905804,0.07313832,0.04745319,0.003785908,0.004622768,0.0003974124,0.007974225,0.00102437,0.6710235],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08716188,"threshold_uncertainty_score":0.2915855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01588433262450396,"score_gpt":0.2985930769518397,"score_spread":0.2827087443273357,"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."}}