{"id":"W2792973966","doi":"10.7202/1043121ar","title":"“Quality not Quantity”","year":2018,"lang":"en","type":"article","venue":"Mémoires du livre","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Publishing; Ideology; Translation studies; Subject (documents); Principal (computer security); Sociology; Publication; Quality (philosophy); Selection (genetic algorithm); History; Media studies; Library science; Linguistics; Political science; Computer science; Law; Politics; Epistemology; Philosophy; Artificial intelligence","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":[0.03219848,0.0005202683,0.00127156,0.003402224,0.005591723,0.02371956,0.00169552,0.002808306,0.01537824],"category_scores_gemma":[0.1184079,0.0006343927,0.0005705471,0.006193968,0.03814122,0.02278504,0.008703959,0.00513442,0.003028729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01034257,"about_ca_system_score_gemma":0.009227265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008059132,"about_ca_topic_score_gemma":0.007631939,"domain_scores_codex":[0.9221689,0.03769156,0.004430902,0.006373933,0.02736206,0.00197263],"domain_scores_gemma":[0.8943614,0.05425501,0.007677189,0.01970583,0.02060036,0.003400135],"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":[0.00007599047,0.00002004689,0.002524128,0.0007611946,0.0000537226,0.00008121368,0.02033389,0.0001491718,0.0004975591,0.8605965,0.0368847,0.07802191],"study_design_scores_gemma":[0.00002663936,0.0000906991,0.003919173,0.00153071,0.00004121851,0.0002938811,0.01244988,0.0001664793,0.0004325168,0.3169521,0.6640469,0.0000497966],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02491177,0.03368122,0.06845055,0.2554249,0.01325582,0.000267957,0.0007334495,0.0004034979,0.6028709],"genre_scores_gemma":[0.8566724,0.01121375,0.01604463,0.03251577,0.006148639,0.0003903997,0.0003692104,0.0009904443,0.07565483],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03219848,"threshold_uncertainty_score":0.1702839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09649293089937715,"score_gpt":0.3137510438503353,"score_spread":0.2172581129509581,"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."}}