{"id":"W3208983444","doi":"10.32920/ryerson.14662029.v1","title":"Processing Edward Steichen's Celebrity Portrait Photographs at George Eastman House","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":"George (robot); Portrait; Negative; Art; Visual arts; Art history","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":[0.0007677214,0.0001758146,0.0001051921,0.001043268,0.001274954,0.001399696,0.0002271068,0.0001721221,0.01315182],"category_scores_gemma":[0.001969404,0.0001287789,0.00009501776,0.001019914,0.0004633017,0.0007611416,0.0009376326,0.0004456345,0.003590781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007221878,"about_ca_system_score_gemma":0.000945012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01041988,"about_ca_topic_score_gemma":0.0545522,"domain_scores_codex":[0.9996966,0.00005288901,0.00001132417,0.00004668146,0.0001613912,0.00003119038],"domain_scores_gemma":[0.9995409,0.000138627,0.00003167768,0.00008963081,0.0001631902,0.00003588329],"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":[0.0002765173,0.000129222,0.01721993,0.000346882,0.00001893181,0.001431145,0.07296511,0.001161036,0.0913417,0.02252026,0.07217958,0.7204098],"study_design_scores_gemma":[0.00001181534,0.0001266997,0.0484812,0.0002476792,0.00001894396,0.0009960706,0.04682896,0.001150655,0.07762258,0.002460801,0.8220076,0.00004701513],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6495446,0.0008170693,0.03223781,0.002200319,0.0003791251,0.0005819772,0.001820619,0.0005247975,0.3118937],"genre_scores_gemma":[0.5391906,0.002257191,0.1302349,0.0002857965,0.00009855627,0.0001688282,0.002029835,0.0008296398,0.3249047],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01315182,"threshold_uncertainty_score":0.04399723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03832794933755004,"score_gpt":0.2568130377751078,"score_spread":0.2184850884375577,"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."}}