{"id":"W2949409483","doi":"","title":"From the Erasure 'Art' of World War I Canadian Postcards to Art in the Age of Mechanical Reproduction","year":2018,"lang":"en","type":"article","venue":"Anglistik","topic":"Photography and Visual Culture","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Reproduction; Erasure; World War II; Genealogy; History; Computer science; Archaeology; Biology; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002904069,0.0005846385,0.0002597544,0.00254907,0.0229011,0.02147976,0.001081535,0.003466891,0.03504138],"category_scores_gemma":[0.008189912,0.0003492563,0.0002551297,0.002571243,0.04215311,0.006889916,0.006135108,0.006725435,0.002614436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04250992,"about_ca_system_score_gemma":0.04525045,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8343493,"about_ca_topic_score_gemma":0.9198871,"domain_scores_codex":[0.9975088,0.000390543,0.00005289852,0.0002120476,0.001072023,0.0007637554],"domain_scores_gemma":[0.9967136,0.0009724651,0.0001757071,0.0003900364,0.0009262723,0.0008218269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000387417,0.00001383701,0.0006836801,0.00007726804,0.0000047129,0.0001753656,0.02803206,0.0001042308,0.000276147,0.8072756,0.1154714,0.04784697],"study_design_scores_gemma":[0.000004796727,0.000008706442,0.002437499,0.0002888103,0.00000516451,0.0001280208,0.01744462,0.00006006924,0.0002769675,0.02275991,0.9565592,0.00002623697],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02117082,0.02148094,0.001228246,0.1208333,0.002722975,0.00002240992,0.0002453921,0.0001160841,0.8321798],"genre_scores_gemma":[0.6357979,0.01945545,0.001387314,0.02228153,0.002064181,0.00002509575,0.0001073077,0.0003025343,0.3185787],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1656507,"threshold_uncertainty_score":0.3332524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03863736609133488,"score_gpt":0.2633213921512223,"score_spread":0.2246840260598874,"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."}}