{"id":"W4409106287","doi":"10.32920/28718786","title":"The Incorporation of Circular Economy in Makerspaces at Toronto Universities","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Sustainable Industrial Ecology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Circular economy; Economy; Business; Economics; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00242852,0.0002756176,0.0002257792,0.001436597,0.01163537,0.009346031,0.0008195227,0.0007904597,0.007102183],"category_scores_gemma":[0.004587052,0.0003562771,0.0002799856,0.002430322,0.007170392,0.002958364,0.008204375,0.0007231567,0.0004657439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01917379,"about_ca_system_score_gemma":0.0193323,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1196924,"about_ca_topic_score_gemma":0.3530339,"domain_scores_codex":[0.9972872,0.0008991458,0.0001068685,0.0002859956,0.0007111107,0.0007097373],"domain_scores_gemma":[0.9951026,0.001044094,0.0005898143,0.000642472,0.0006176095,0.00200335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000378685,0.000205835,0.1137057,0.0004641528,0.00004257205,0.003332783,0.6593418,0.00218451,0.00734262,0.06847583,0.007390104,0.1371354],"study_design_scores_gemma":[0.00002403814,0.0002475669,0.0937969,0.0002442408,0.00004968724,0.0003539362,0.6332083,0.001579992,0.00609832,0.008798758,0.2554915,0.0001066559],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.960389,0.0004304977,0.002729517,0.001577259,0.00006098621,0.00009053132,0.0001160803,0.0001077935,0.03449839],"genre_scores_gemma":[0.992527,0.0001539117,0.001220074,0.0000523441,0.000005137593,0.0000139879,0.00003183638,0.00001466641,0.005981061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8803076,"threshold_uncertainty_score":0.2379914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008659390210606506,"score_gpt":0.2115787316944452,"score_spread":0.2029193414838387,"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."}}