{"id":"W2522327362","doi":"10.1088/2058-7058/29/1/32","title":"Bubble signatures revealed in antique artefacts","year":2016,"lang":"en","type":"article","venue":"Physics World","topic":"Conservation Techniques and Studies","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Antique; Fetch; Bubble; Art; Object (grammar); Visual arts; Computer science; Geology; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0004034094,0.0002158238,0.0002243834,0.001891594,0.001478418,0.001481644,0.00034071,0.001279357,0.007158965],"category_scores_gemma":[0.004727914,0.0002928064,0.0001485461,0.001372629,0.001425033,0.001320442,0.001444596,0.001026398,0.001270682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004901411,"about_ca_system_score_gemma":0.0002280755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003127969,"about_ca_topic_score_gemma":0.004531449,"domain_scores_codex":[0.9996295,0.00005895468,0.00001267277,0.00005832638,0.0001558852,0.00008468539],"domain_scores_gemma":[0.9974568,0.0009764101,0.0004066835,0.0005213604,0.0004826314,0.0001561013],"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":[0.00309097,0.000137657,0.1396017,0.0009039489,0.0001557603,0.01857506,0.07370364,0.001800316,0.2017448,0.1848652,0.09861949,0.2768015],"study_design_scores_gemma":[0.0001144237,0.0003202907,0.4273301,0.0004766372,0.0001436416,0.01070809,0.02729552,0.01648455,0.0820401,0.03676188,0.3978623,0.0004624932],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.907034,0.00163931,0.009683137,0.002435087,0.0004958529,0.00005095399,0.001365411,0.0005171602,0.07677905],"genre_scores_gemma":[0.9843052,0.0002510624,0.003078549,0.0002396593,0.0001113832,0.0000198725,0.0003474876,0.0001649372,0.0114819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007158965,"threshold_uncertainty_score":0.02394915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04216843518087128,"score_gpt":0.2432856151257499,"score_spread":0.2011171799448787,"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."}}