{"id":"W2668872935","doi":"10.3138/cart.52.2.4115","title":"Smart Cartographic Functionality for Improving Data Visualization in Map Mashups","year":2017,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mashup; Computer science; Visualization; Geoportal; Data science; Process (computing); World Wide Web; Cartography; Geography; Information retrieval; Data mining; Web service; Geographic information system; Web standards","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":[0.004177935,0.0009111945,0.0005318287,0.001678963,0.001017231,0.004288027,0.001636693,0.001002389,0.006159083],"category_scores_gemma":[0.01273075,0.0005139445,0.0007832376,0.001486121,0.001904644,0.007058062,0.003881767,0.001300472,0.001349306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007473924,"about_ca_system_score_gemma":0.001214705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002395101,"about_ca_topic_score_gemma":0.002578967,"domain_scores_codex":[0.9970229,0.001278433,0.0001881552,0.0003338699,0.0009527317,0.000223867],"domain_scores_gemma":[0.9938168,0.002668289,0.0003053039,0.002351437,0.0005579441,0.0003002672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007257893,0.0004291749,0.007802367,0.001209723,0.0001532291,0.00174578,0.01771067,0.05284197,0.08162886,0.3476455,0.02219867,0.4659083],"study_design_scores_gemma":[0.0001384789,0.0003085911,0.005049704,0.0004435629,0.0001521185,0.001367341,0.003509804,0.4924484,0.09035261,0.1668728,0.2390666,0.0002899957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0264389,0.0001467259,0.9534087,0.0004890444,0.00003304313,0.0002275356,0.0002661368,0.0122492,0.006740699],"genre_scores_gemma":[0.2068761,0.0001437717,0.789741,0.00008821411,0.00002373429,0.00018351,0.0004296454,0.001059737,0.001454198],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006159083,"threshold_uncertainty_score":0.02209526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04969386979395882,"score_gpt":0.367720035903525,"score_spread":0.3180261661095662,"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."}}