{"id":"W1968144548","doi":"10.3138/carto.45.2.159","title":"GIS CARTOGRAPHY: A GUIDE TO EFFECTIVE MAP DESIGN","year":2010,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cartography; Geography; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004782689,0.0002615374,0.0002400119,0.001872526,0.002758236,0.001336394,0.0007633695,0.0002074658,0.00005006407],"category_scores_gemma":[0.001134609,0.0002069676,0.0003279297,0.001230909,0.0004868508,0.001823858,0.000108941,0.0004040754,0.00002206641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004130365,"about_ca_system_score_gemma":0.0001443979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007485488,"about_ca_topic_score_gemma":0.001014005,"domain_scores_codex":[0.9969954,0.0001952993,0.0009242369,0.0001912663,0.001204298,0.0004894756],"domain_scores_gemma":[0.9948792,0.0005318386,0.0005744642,0.0002291907,0.003475105,0.0003101697],"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":[0.0005756737,0.0001164351,0.07114173,0.00008331222,0.001291706,0.00000378359,0.08623275,0.0006950431,0.0003506713,0.685468,0.07621255,0.07782838],"study_design_scores_gemma":[0.0009284605,0.0001405654,0.01113702,0.00004803883,0.00006513268,0.00004835345,0.01009138,0.0004645126,0.00004864596,0.007358442,0.9693573,0.0003121614],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2018877,0.0005404918,0.6800382,0.05804396,0.03346029,0.01205777,0.0002193409,0.0008100247,0.01294222],"genre_scores_gemma":[0.9881449,0.0007106087,0.003759087,0.005045815,0.001177697,0.0007676631,0.00009449663,0.00002509579,0.0002746087],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8931447,"threshold_uncertainty_score":0.9997003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01119220594508329,"score_gpt":0.3294487067830055,"score_spread":0.3182565008379222,"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."}}