{"id":"W2898247218","doi":"10.22148/16.026","title":"Image Analytics and the Nineteenth-Century Illustrated Newspaper","year":2018,"lang":"en","type":"article","venue":"Journal of Cultural Analytics","topic":"Photography and Visual Culture","field":"Arts and Humanities","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Newspaper; Sublime; Flood myth; History; Analytics; Art history; Media studies; Literature; Art; Computer science; Sociology; Data science; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002047104,0.0003400468,0.00020658,0.008934707,0.002413372,0.01113186,0.000508557,0.001587323,0.008579212],"category_scores_gemma":[0.008255416,0.0003258463,0.0002226844,0.009646267,0.006164176,0.008509493,0.001631542,0.002125008,0.002247184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007204555,"about_ca_system_score_gemma":0.001942676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03299425,"about_ca_topic_score_gemma":0.05207391,"domain_scores_codex":[0.9984512,0.0004662142,0.00008854952,0.0001378311,0.000701531,0.0001546626],"domain_scores_gemma":[0.9904805,0.0064334,0.0006066623,0.000382341,0.00181675,0.0002804163],"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":[0.0001212604,0.00006169742,0.002165634,0.002385854,0.00005156326,0.0007190813,0.02947633,0.0001463793,0.0008066534,0.2344768,0.3075488,0.42204],"study_design_scores_gemma":[0.000005587768,0.000009932871,0.006024399,0.001568529,0.00001584673,0.0003452111,0.008310238,0.00008097689,0.0006182925,0.007720859,0.9752824,0.00001776139],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02757438,0.6634194,0.001721576,0.07731471,0.002902629,0.00002423732,0.0005460998,0.0001995523,0.2262976],"genre_scores_gemma":[0.323803,0.5530174,0.002702091,0.01564153,0.006097092,0.00004854829,0.0008203768,0.0003485118,0.09752139],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03299425,"threshold_uncertainty_score":0.06560439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03466716520478621,"score_gpt":0.2718072904928382,"score_spread":0.237140125288052,"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."}}