{"id":"W4220872536","doi":"10.1007/s00371-022-02439-9","title":"Multi-scale physicalization of polar heritage at risk in the western canadian arctic","year":2022,"lang":"en","type":"article","venue":"The Visual Computer","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Context (archaeology); Cultural heritage; Scale (ratio); Visualization; Indigenous; Computer science; Geography; Remote sensing; Architectural engineering; Data science; Environmental resource management; Archaeology; Cartography; Ecology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004613903,0.00006813882,0.00008483804,0.00002600672,0.0003680928,0.0000259214,0.0002836846,0.00001441137,0.0002714045],"category_scores_gemma":[0.000004262689,0.00003791857,0.00003722406,0.0002207153,0.00004450996,0.000048273,0.00002695338,0.0001552506,0.00004874211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001382632,"about_ca_system_score_gemma":0.00001978598,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2934696,"about_ca_topic_score_gemma":0.5703355,"domain_scores_codex":[0.9988365,0.0005900884,0.000110974,0.0001126728,0.0001787469,0.0001710716],"domain_scores_gemma":[0.9996651,0.0001075123,0.00004530461,0.0001297346,0.00001273071,0.00003963999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001281985,0.00002678015,0.983146,0.000006055788,0.000005866133,0.000005433043,0.004809333,0.007618334,0.00002164108,0.000002341492,0.0002905055,0.004054869],"study_design_scores_gemma":[0.0001236234,0.000106026,0.9178641,0.000003406778,0.000003987554,0.000006499153,0.000341948,0.07900399,0.000004723905,0.0000156138,0.002465261,0.00006084375],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990785,0.00010236,0.00009548707,0.00025548,0.0001404767,0.0001218576,0.00009886121,0.000009282369,0.00009766566],"genre_scores_gemma":[0.9988717,0.00000419995,0.00009282473,0.0007168818,0.00005855919,0.000001483521,0.00009156387,0.000002329089,0.0001604768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2768659,"threshold_uncertainty_score":0.7112352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02083164940784872,"score_gpt":0.2370527807140562,"score_spread":0.2162211313062075,"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."}}