{"id":"W2748073052","doi":"10.5194/isprs-annals-iv-2-w2-171-2017","title":"CENTENARY OF THE BATTLE OF VIMY (FRANCE, 1917): PRESERVING THE MEMORY OF THE GREAT WAR THROUGH 3D RECORDING OF THE MAISON BLANCHE SOUTERRAINE","year":2017,"lang":"en","type":"article","venue":"ISPRS annals of the photogrammetry, remote sensing and spatial information sciences","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Battle; Fortress (chess); German; History; Operations research; Computer science; Engineering; Archaeology; Ancient history","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001827564,0.0001483099,0.0002934032,0.00003937846,0.001092985,0.00007688848,0.001317745,0.00006757719,0.00002434434],"category_scores_gemma":[0.0009689684,0.00005572159,0.0002462655,0.0004769702,0.001707009,0.0003920547,0.0002330104,0.0001798758,4.896816e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002149046,"about_ca_system_score_gemma":0.00006449709,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2299618,"about_ca_topic_score_gemma":0.02469311,"domain_scores_codex":[0.9979848,0.000308498,0.0006124626,0.0001330325,0.0007139872,0.000247244],"domain_scores_gemma":[0.9971851,0.0003219206,0.001467592,0.0007392488,0.0002552722,0.00003085113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00008254001,0.00001658239,0.1157406,0.0002458616,0.00006351279,1.094242e-7,0.01009757,0.004499202,0.002029337,0.000004526376,0.0008230881,0.8663971],"study_design_scores_gemma":[0.0003385894,0.0001493065,0.5081822,0.001007377,0.00004870084,0.00001604553,0.005214368,0.4016736,0.08089816,0.0006627481,0.001620093,0.0001888882],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896867,0.0003179237,0.00103427,0.002867525,0.001311781,0.0003569028,0.0001116924,0.000006787908,0.004306389],"genre_scores_gemma":[0.9993452,0.0001355832,0.0001876515,0.0001987842,0.00003715742,7.01567e-8,0.000002006966,0.000002308861,0.00009121796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8662083,"threshold_uncertainty_score":0.9931037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05250321171016049,"score_gpt":0.2768022412341915,"score_spread":0.224299029524031,"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."}}