{"id":"W2018442257","doi":"10.3138/7mn7-5132-1mw6-4v62","title":"A Look at the History and Future of Animated Maps","year":2004,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Animation; Computer science; The Internet; Context (archaeology); Data science; Conceptual framework; World Wide Web; Multimedia; Computer graphics (images); Geography; Sociology; Archaeology","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":[0.001952869,0.000146053,0.0001588749,0.0005854877,0.001499418,0.000221937,0.0003417592,0.0001170642,0.00003931771],"category_scores_gemma":[0.0001880026,0.00009439751,0.0001637497,0.0004355895,0.0008849119,0.001079872,0.00009296386,0.0001549703,0.000002512461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001180002,"about_ca_system_score_gemma":0.0001339254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005079104,"about_ca_topic_score_gemma":0.00077078,"domain_scores_codex":[0.9981366,0.00008588033,0.0006830898,0.00009472351,0.0007777592,0.0002219875],"domain_scores_gemma":[0.997303,0.0001690279,0.0007388062,0.0001279744,0.001574307,0.00008690506],"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":[0.0002176027,0.00003803292,0.02702698,0.00007604984,0.0004457126,7.740211e-7,0.07956506,0.0001251248,0.0000384155,0.8725056,0.00942554,0.01053511],"study_design_scores_gemma":[0.001181302,0.00007313185,0.01237324,0.00004936781,0.00005886945,0.00007887623,0.02775651,0.00006357075,0.00001511258,0.009839914,0.9483617,0.0001483817],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8691146,0.01520355,0.006771909,0.07699337,0.01503137,0.003663781,0.0002785385,0.0002550303,0.01268783],"genre_scores_gemma":[0.9829478,0.01390983,0.0001024144,0.002104787,0.0005242869,0.0000764114,0.0001262571,0.00001043277,0.0001978289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9389362,"threshold_uncertainty_score":0.9998005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01288561737885558,"score_gpt":0.2797525960258263,"score_spread":0.2668669786469707,"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."}}