{"id":"W4249266276","doi":"10.3138/carto.46.2.126","title":"Technical Notes &amp; Ephemera","year":2011,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ephemera; Geovisualization; Computer science; Geography; Computer graphics (images); World Wide Web; Data science; Library science; Visualization; Visual arts; Art; Data mining; Information visualization","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002971102,0.001488115,0.001149894,0.002965441,0.001561853,0.006252158,0.003226087,0.001799439,0.2283086],"category_scores_gemma":[0.01306371,0.00162199,0.001120699,0.006197182,0.000920982,0.008141734,0.003715393,0.002916823,0.2453655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001011082,"about_ca_system_score_gemma":0.001663258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006629659,"about_ca_topic_score_gemma":0.00413081,"domain_scores_codex":[0.9968339,0.0006211357,0.0003689627,0.0003993153,0.001568598,0.0002081665],"domain_scores_gemma":[0.9935825,0.001894993,0.0003308702,0.002023872,0.001933894,0.0002338543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006011383,0.00002585878,0.0002080757,0.0002014536,0.00001334818,0.00008969739,0.000100598,0.0004844272,0.0004945921,0.02388065,0.782307,0.1921341],"study_design_scores_gemma":[0.00002564374,0.000009017482,0.000232299,0.0001301,0.000009702415,0.000203261,0.00004365244,0.001843853,0.001551985,0.02063189,0.9752926,0.00002599043],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.001229576,0.005201855,0.569994,0.006825272,0.005011182,0.0004073751,0.03562973,0.08161474,0.2940862],"genre_scores_gemma":[0.02594837,0.01093228,0.4013734,0.003583668,0.004807779,0.001186692,0.08120465,0.05109303,0.4198702],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7716914,"threshold_uncertainty_score":0.7637684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04717400715214611,"score_gpt":0.3351110293321123,"score_spread":0.2879370221799662,"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."}}