{"id":"W3212291107","doi":"10.32920/ryerson.14645925.v1","title":"Providing Enhanced Digital Access to a Collection of Material Photographs: a Considered Approach","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Photography and Visual Culture","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"World Wide Web; Computer science; Materiality (auditing); XML; Data collection; Institution; Public access; Digital media; Multimedia; Art; Sociology; Aesthetics","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":[0.004428538,0.0005818711,0.0004509271,0.004019411,0.003631895,0.01212586,0.002114897,0.001561113,0.01231832],"category_scores_gemma":[0.008648801,0.0006164073,0.0006806205,0.003829367,0.004054144,0.01301272,0.01219355,0.001447432,0.001862112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003772821,"about_ca_system_score_gemma":0.003979457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006382645,"about_ca_topic_score_gemma":0.01087043,"domain_scores_codex":[0.9957847,0.002138682,0.0002010608,0.0003634857,0.001204926,0.0003071544],"domain_scores_gemma":[0.9946823,0.001793635,0.0002257499,0.002004793,0.0009395693,0.0003540148],"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":[0.0002294156,0.0003995383,0.003006951,0.001172797,0.00004991635,0.001270641,0.04614268,0.003846811,0.02390884,0.4010272,0.01279975,0.5061455],"study_design_scores_gemma":[0.00008541967,0.0002996887,0.004615146,0.001274918,0.0001687065,0.002390837,0.04635461,0.01764669,0.02667258,0.09543068,0.8049331,0.0001276269],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1226669,0.002394357,0.495561,0.01433628,0.0003310885,0.001503104,0.0005266083,0.003002797,0.3596778],"genre_scores_gemma":[0.3896157,0.003113176,0.5483678,0.0008107399,0.0001494393,0.0004626171,0.0003586852,0.0004211642,0.05670066],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01231832,"threshold_uncertainty_score":0.04120886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07201649825382983,"score_gpt":0.2902393700383873,"score_spread":0.2182228717845575,"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."}}