{"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 œinternational 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003657017,0.0004032773,0.0002723825,0.00380103,0.001394707,0.0050287,0.000825355,0.0009953575,0.006175874],"category_scores_gemma":[0.00501211,0.0002636387,0.0002718237,0.003857446,0.0007324817,0.004103453,0.00206193,0.0007351545,0.002907202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002071176,"about_ca_system_score_gemma":0.002436679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0244571,"about_ca_topic_score_gemma":0.01614271,"domain_scores_codex":[0.997118,0.0009615897,0.0003167263,0.0003708164,0.001041299,0.0001915651],"domain_scores_gemma":[0.9938496,0.001542406,0.0007142761,0.001580102,0.001893578,0.0004200567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000500829,0.0002420183,0.02549234,0.001284537,0.0002163038,0.001246835,0.007791589,0.01016973,0.0259359,0.1057982,0.1441637,0.6771581],"study_design_scores_gemma":[0.00004944006,0.00009455892,0.01988848,0.0004782467,0.00009653913,0.0005033161,0.002555812,0.0227332,0.01883631,0.008457039,0.9261794,0.0001275734],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1174226,0.005152568,0.455456,0.007339994,0.0006244693,0.001808117,0.01415173,0.06248676,0.3355577],"genre_scores_gemma":[0.602077,0.003170402,0.314792,0.0009511856,0.0003216161,0.00060815,0.01865547,0.001712079,0.05771207],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9949713,"threshold_uncertainty_score":0.04862946,"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."}}