{"id":"W2955745212","doi":"10.3390/su11133581","title":"Tools for Sustainable Fashion Design: An Analysis of Their Fitness for Purpose","year":2019,"lang":"en","type":"article","venue":"Sustainability","topic":"Design Education and Practice","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Archetype; Sustainability; Categorization; Context (archaeology); Computer science; Sustainable design; Process management; Citizen journalism; Knowledge management; Management science; Engineering; Artificial intelligence; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001641475,0.0001491086,0.0003426738,0.0002200831,0.00006881658,0.00009170645,0.0002047134,0.0001000343,0.0001130076],"category_scores_gemma":[0.001665362,0.0001425322,0.0001902116,0.0006560042,0.00003026635,0.0009740447,0.00001676553,0.00007238748,0.000001480307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005001852,"about_ca_system_score_gemma":0.0002913907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002400168,"about_ca_topic_score_gemma":0.000008956668,"domain_scores_codex":[0.9988566,0.0001189679,0.0002921805,0.0002611901,0.00009457594,0.000376492],"domain_scores_gemma":[0.9962416,0.001527859,0.00007474573,0.0005823038,0.001491127,0.00008234933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001571118,0.00120746,0.02309993,0.01000428,0.001720355,0.000002443006,0.01130571,0.7467045,0.002548573,0.1113124,0.00208895,0.08843426],"study_design_scores_gemma":[0.00233137,0.001244737,0.06628216,0.00001278179,0.001726209,0.000001578004,0.1298625,0.6274343,0.01204279,0.0468965,0.1109852,0.001180002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6162123,0.00004314104,0.3802698,0.0001625797,0.0001209096,0.00274903,0.00002527937,0.0001087264,0.0003082375],"genre_scores_gemma":[0.9959148,0.000003548149,0.00202978,0.00002724703,0.00003073442,0.0004648475,0.000086568,0.00002604519,0.001416453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3797025,"threshold_uncertainty_score":0.5812293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02731258992884623,"score_gpt":0.3038250066448765,"score_spread":0.2765124167160303,"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."}}