{"id":"W2118340116","doi":"10.3138/t4m0-671p-3700-3051","title":"The Use of Maps in the Exploration of Geographic Data","year":2006,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography; Cartography; Computer science; Data 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"],"consensus_categories":[],"category_scores_codex":[0.005727249,0.0001563102,0.0001942574,0.000947423,0.001531828,0.0007406862,0.001276007,0.0001105504,0.000004000542],"category_scores_gemma":[0.0008036227,0.00009052788,0.0001826831,0.001313435,0.0008956072,0.004119457,0.0001263601,0.0002040446,7.160148e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001728753,"about_ca_system_score_gemma":0.0000961953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003177713,"about_ca_topic_score_gemma":0.005533301,"domain_scores_codex":[0.9965509,0.0003337069,0.001404538,0.0001186606,0.001313285,0.0002789354],"domain_scores_gemma":[0.9951566,0.001010885,0.001327389,0.0003958015,0.002073068,0.00003624045],"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":[0.0001887453,0.00008651337,0.159201,0.00005318554,0.0002354489,4.464688e-7,0.01752107,0.001208958,0.00001149609,0.8035818,0.007160604,0.01075074],"study_design_scores_gemma":[0.001148998,0.00008639951,0.06092701,0.0001117019,0.00008557793,0.00002313145,0.03192076,0.003684594,0.00001108422,0.03639301,0.8653994,0.0002083213],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.770277,0.005267269,0.1106232,0.08241879,0.01180825,0.01097132,0.001568735,0.0002372705,0.006828234],"genre_scores_gemma":[0.9935153,0.005152313,0.0001543237,0.0004121787,0.0002099705,0.00008084953,0.0004353345,0.000006948374,0.00003285177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8582388,"threshold_uncertainty_score":0.999768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08513953535797796,"score_gpt":0.3450104025193558,"score_spread":0.2598708671613778,"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."}}