{"id":"W1994084567","doi":"10.3138/carto.43.2.85","title":"Keyhole, Google Earth, and 3D Worlds: An Interview with Avi Bar-Zeev","year":2008,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Visual arts; Entertainment; MAGIC (telescope); Computer graphics (images); Rendering (computer graphics); World Wide Web; Art; Computer science; Media studies; Sociology","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":[0.009307788,0.0006517514,0.000982996,0.001616168,0.0190565,0.00879231,0.001648015,0.00769651,0.005025232],"category_scores_gemma":[0.01446754,0.001000369,0.0004959374,0.002068929,0.0122328,0.01675399,0.00669768,0.01512497,0.001011504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00755412,"about_ca_system_score_gemma":0.004559547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04592519,"about_ca_topic_score_gemma":0.05301662,"domain_scores_codex":[0.991882,0.005444422,0.0001724057,0.0003763337,0.0009887571,0.001136138],"domain_scores_gemma":[0.9895219,0.00555001,0.0003580541,0.0001315788,0.001110351,0.003328115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005064255,0.0000953216,0.001525621,0.000148996,0.000007845671,0.001973999,0.768452,0.0001154725,0.00048987,0.01485655,0.1990762,0.01320752],"study_design_scores_gemma":[0.0000092734,0.00003876651,0.0007831592,0.0002510246,0.000003400197,0.001103049,0.7206725,0.0001479413,0.00007023552,0.001515924,0.2753545,0.00005023251],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.1170995,0.02502784,0.002761759,0.7960792,0.005698718,0.0001563083,0.0002203497,0.0001765889,0.05277967],"genre_scores_gemma":[0.6927053,0.0208337,0.0031401,0.2296133,0.001445203,0.0003412789,0.0001940558,0.0004578207,0.05126948],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04592519,"threshold_uncertainty_score":0.09131575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01404600734700754,"score_gpt":0.2450891388014096,"score_spread":0.2310431314544021,"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."}}