{"id":"W4252820266","doi":"10.32920/ryerson.14655657.v1","title":"Cataloguing Michael Snow: Photo-Works","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Conservation Techniques and Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Toronto Metropolitan University; McMaster University; York University; University of Ottawa","funders":"","keywords":"Documentation; Possession (linguistics); Relation (database); Work (physics); Visual arts; Snow; Photography; Art; Process (computing); Computer science; Engineering; Geography; Database; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001140478,0.0002223051,0.0003243061,0.00007311247,0.0002655965,0.0006356451,0.000204585,0.0001220282,0.005584789],"category_scores_gemma":[0.00003905975,0.0001960547,0.0001892051,0.00001566701,0.0001219782,0.00008201063,0.0008410773,0.0004027019,0.0000266102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003655972,"about_ca_system_score_gemma":0.00004917742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004849099,"about_ca_topic_score_gemma":0.01752384,"domain_scores_codex":[0.9990185,0.00002394242,0.0002948116,0.0003440168,0.0001373022,0.0001813891],"domain_scores_gemma":[0.9991469,0.00006222582,0.0001084809,0.0003917902,0.0002575078,0.00003308865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000176764,0.0002085855,0.000499243,0.0006137521,0.0006314495,0.00008020159,0.1341018,0.00001512521,0.00004975772,0.2289355,0.5998537,0.03499313],"study_design_scores_gemma":[0.0001261029,0.00001874042,0.0001439425,0.0007793648,0.00007002999,0.000002534213,0.01883209,0.0003044063,0.0006064502,0.005405606,0.9730919,0.0006188526],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.091259,0.007404315,0.003792351,0.01028965,0.004607436,0.000973782,0.0001679027,0.001693999,0.8798116],"genre_scores_gemma":[0.9003757,0.001808717,0.002464182,0.006670813,0.001467364,0.000299224,0.0008932247,0.0000646701,0.08595613],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8091167,"threshold_uncertainty_score":0.9953243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05803793670929643,"score_gpt":0.256677467873321,"score_spread":0.1986395311640245,"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."}}