{"id":"W2944436899","doi":"10.1177/1354856519845748","title":"<i>Don’t</i> copy that: Security printing and the making of high-tech paper","year":2019,"lang":"en","type":"article","venue":"Convergence The International Journal of Research into New Media Technologies","topic":"Cybernetics and Technology in Society","field":"Arts and Humanities","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Order (exchange); Unison; Quality (philosophy); Computer science; Narrative; Object (grammar); Novelty; Reading (process); Law; Business; Art; Political science; Artificial intelligence; Literature","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002456926,0.0001138318,0.0002473918,0.0001969101,0.0001828419,0.0001446763,0.0021661,0.0001143291,0.0005358813],"category_scores_gemma":[0.00163279,0.00006028569,0.0001153155,0.0001136071,0.003528108,0.000217883,0.0009555279,0.001095135,0.00001464447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006094206,"about_ca_system_score_gemma":0.0001373588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003877161,"about_ca_topic_score_gemma":0.0002898387,"domain_scores_codex":[0.9980621,0.00008319671,0.000402372,0.0001491239,0.001067697,0.0002354661],"domain_scores_gemma":[0.9972017,0.001147647,0.0003868339,0.0003276238,0.0009178114,0.00001842704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001651335,0.00003187451,0.005603744,0.00002923579,0.000272173,0.00001239981,0.025274,0.000002720635,0.001113184,0.935725,0.0117039,0.02006662],"study_design_scores_gemma":[0.001343156,0.0001435398,0.0003079423,0.0003244956,0.0000266337,0.00005764816,0.09169957,0.000120802,0.02236235,0.7312674,0.1522121,0.0001343428],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9158414,0.003351603,0.0000557911,0.07675505,0.001861448,0.0002629413,0.000005748287,0.00007650099,0.001789514],"genre_scores_gemma":[0.9957373,0.003259869,0.0003144603,0.0001508377,0.0002258195,0.00000700259,5.247437e-7,0.000009613191,0.0002945637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2044576,"threshold_uncertainty_score":0.9991837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0472796995417728,"score_gpt":0.316845120191073,"score_spread":0.2695654206493002,"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."}}