{"id":"W4409218897","doi":"10.32920/28745423.v1","title":"Sustainability benefits of expanded gamut printing","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Fashion and Cultural Textiles","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Gamut; Sustainability; Business; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008088856,0.0004636224,0.0002456274,0.001241931,0.0005456276,0.002244791,0.0005931208,0.0005809111,0.01256769],"category_scores_gemma":[0.001316553,0.0001522014,0.0003980798,0.001102839,0.0006192279,0.00215811,0.002502138,0.0006920877,0.001361668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001546292,"about_ca_system_score_gemma":0.0009612605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002530725,"about_ca_topic_score_gemma":0.00668406,"domain_scores_codex":[0.9989327,0.000254773,0.00001892425,0.0000872753,0.0005493694,0.0001569775],"domain_scores_gemma":[0.9991497,0.0001895899,0.00009226471,0.00008125406,0.0004027637,0.00008434345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006496002,0.0006764953,0.02265785,0.001080198,0.0000974162,0.002581505,0.0009873043,0.03021453,0.05016255,0.1141567,0.01925975,0.757476],"study_design_scores_gemma":[0.0001014534,0.001284776,0.08461879,0.001272984,0.0002627926,0.002679428,0.008234805,0.04067704,0.139849,0.1417657,0.5790775,0.0001755917],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2877906,0.003858758,0.02247331,0.003736696,0.0002108596,0.0001091854,0.00039992,0.0006187694,0.6808019],"genre_scores_gemma":[0.9474788,0.002811693,0.009766389,0.0004573399,0.00006422871,0.00005182657,0.000295252,0.0001318229,0.03894255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01256769,"threshold_uncertainty_score":0.04204315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04804596792193953,"score_gpt":0.2753919722543676,"score_spread":0.2273460043324281,"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."}}