{"id":"W2042088403","doi":"10.5194/isprsarchives-xxxix-b4-203-2012","title":"INFORMATION MANAGEMENT SYSTEMS FOR MONITORING AND DOCUMENTING WORLD HERITAGE - THE SILK ROADS CHRIS","year":2012,"lang":"en","type":"article","venue":"The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences","topic":"Archaeological Research and Protection","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Belgian Federal Science Policy Office; University College London","keywords":"Nomination; Context (archaeology); Cultural heritage; Computer science; Data management; World Wide Web; Consistency (knowledge bases); Resource (disambiguation); Information system; Data science; Engineering; Geography; Database; Political science; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002543361,0.0003265316,0.0003051401,0.0007113535,0.002063819,0.0009889026,0.00117066,0.00006855593,0.00001101796],"category_scores_gemma":[0.0006124316,0.0001801906,0.0002329518,0.0007950481,0.002218839,0.001108783,0.0005845515,0.0003932982,0.000004031741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002417312,"about_ca_system_score_gemma":0.00008493524,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7260113,"about_ca_topic_score_gemma":0.09310373,"domain_scores_codex":[0.9960852,0.0003155007,0.001120512,0.0002421727,0.001606022,0.000630582],"domain_scores_gemma":[0.9967426,0.001381911,0.001166758,0.0003210122,0.0002019328,0.0001858085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001596154,0.00000607933,0.002218975,0.0000712701,0.00007587283,1.011205e-7,0.003419711,0.003297364,0.0001346796,0.00001637793,0.00003272141,0.9905672],"study_design_scores_gemma":[0.0005085595,0.0001246132,0.02417563,0.0002407528,0.00003504167,0.0000723829,0.004430018,0.9533967,0.001138863,0.004302126,0.01135812,0.0002171658],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0181983,0.0001702903,0.9656593,0.002956015,0.002196861,0.001265372,0.0001101146,0.00004069079,0.009403021],"genre_scores_gemma":[0.9954382,0.0004288284,0.003280915,0.0004485682,0.0002352269,9.805103e-7,0.0000445724,0.000004987531,0.0001176782],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9903501,"threshold_uncertainty_score":0.9992353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02250053695247186,"score_gpt":0.2632895818379601,"score_spread":0.2407890448854883,"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."}}