{"id":"W4252633565","doi":"10.26522/ti.v8i1.2166","title":"Erasures","year":2019,"lang":"en","type":"article","venue":"ti<","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Erasure; Exhibition; Computer science; Action (physics); Style (visual arts); Linguistics; Art; Visual arts; Programming language; Philosophy","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":[0.004427772,0.00134713,0.0006491981,0.002761811,0.005117903,0.00934122,0.002242917,0.002290325,0.1309955],"category_scores_gemma":[0.02474859,0.0007853964,0.001019523,0.002237091,0.006640902,0.01810941,0.01228522,0.004131668,0.05934992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001838303,"about_ca_system_score_gemma":0.002019839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001853859,"about_ca_topic_score_gemma":0.003171869,"domain_scores_codex":[0.9940981,0.001946634,0.000396924,0.0009035293,0.002036643,0.0006182326],"domain_scores_gemma":[0.9872574,0.003829701,0.0008021643,0.005348948,0.002213204,0.0005485738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000115738,0.00002687633,0.0005705311,0.0004488364,0.00001836768,0.0004961842,0.0125009,0.0001966364,0.001776023,0.448063,0.3746365,0.1611503],"study_design_scores_gemma":[0.000002042683,0.000005852801,0.00007739432,0.0000821373,0.00000350345,0.0001529513,0.0007081823,0.00004479432,0.0004787976,0.00829175,0.9901418,0.00001084468],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008009056,0.004433925,0.05221644,0.01151898,0.01194941,0.0002299761,0.001754842,0.008272275,0.9016151],"genre_scores_gemma":[0.1092631,0.005372556,0.0347302,0.01007394,0.003938304,0.0004640031,0.002100079,0.01129309,0.8227646],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1309955,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04391323948148321,"score_gpt":0.2086826305432905,"score_spread":0.1647693910618073,"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."}}