{"id":"W2597808025","doi":"10.24264/icams-2016.iii.1","title":"Ink Dyes for Washable Leathers","year":2016,"lang":"en","type":"article","venue":"ICAMS","topic":"Dyeing and Modifying Textile Fibers","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dyeing; Rubbing; Textile; Inkwell; Materials science; Pulp and paper industry; Composite material; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005702896,0.00006518998,0.00006976638,0.00002477265,0.00002580597,0.00001185188,0.0000836254,0.00004077542,0.00004617554],"category_scores_gemma":[0.00002082458,0.00004543917,0.0000407093,0.00002923118,0.0000216434,0.00005326694,0.000007720431,0.00002459881,0.0001493575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002788709,"about_ca_system_score_gemma":0.000004291228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002851245,"about_ca_topic_score_gemma":0.000001774093,"domain_scores_codex":[0.9996275,0.000002991306,0.00006419287,0.00008275919,0.00004407023,0.0001784863],"domain_scores_gemma":[0.999751,0.00005503356,0.00000695797,0.0001371493,0.00000922787,0.00004058935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002459803,0.00002857126,0.0004096607,0.0001577542,0.0001286433,0.00000390451,0.000898074,0.003404525,0.1704668,0.005000019,0.1790676,0.6404098],"study_design_scores_gemma":[0.0009874474,0.00007166414,0.0002244924,0.000138096,0.00001850198,0.000003341435,0.00004671636,0.005495352,0.04308071,0.003352236,0.9462326,0.000348831],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7046071,0.0004615185,0.2441985,0.001156825,0.002002317,0.0004315292,0.0000589064,0.002561781,0.04452147],"genre_scores_gemma":[0.9922991,0.00002269246,0.0019272,0.00004063279,0.0001047839,0.00003325869,0.000001747499,0.00003136488,0.005539267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7671651,"threshold_uncertainty_score":0.1919739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089082344213824,"score_gpt":0.1960901043953421,"score_spread":0.1851992809532039,"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."}}