{"id":"W4221065664","doi":"10.1016/j.jclepro.2022.131333","title":"Material circularity in large organizations: Action-research to shift information technology (IT) material flows","year":2022,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Circular economy; Sustainability; Action (physics); Work (physics); Corporate governance; Action research; Transition (genetics); Transition management (governance); Information technology; Material flow; Information flow; Business; Psychological intervention; Process management; Management science; Knowledge management; Economic system; Computer science; Economics; Engineering; Management; Mechanical engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003651893,0.0001157845,0.0001856785,0.003091941,0.0004703469,0.0003542717,0.0003613695,0.00005998461,0.00141883],"category_scores_gemma":[0.001076387,0.0001223515,0.00003297931,0.002930744,0.0000235617,0.002779404,0.0005361467,0.0004355858,0.00007722739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006282196,"about_ca_system_score_gemma":0.00009554453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001686794,"about_ca_topic_score_gemma":0.00009510157,"domain_scores_codex":[0.9979762,0.00008711983,0.0006308589,0.0001793783,0.0007718697,0.0003545167],"domain_scores_gemma":[0.9984029,0.00001023136,0.0003672857,0.0002365439,0.0009684679,0.00001455996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005161476,0.003222959,0.0680855,0.002702409,0.0003507374,0.000389234,0.007727238,0.3887889,0.03108763,0.05103055,0.3844751,0.0569783],"study_design_scores_gemma":[0.001064602,0.0001149817,0.01236094,0.0000382748,0.00004008208,0.00006366125,0.02835801,0.0008031749,0.001798079,0.01191543,0.943154,0.0002888067],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9623845,0.000005669899,0.0009522436,0.03133074,0.004288828,0.0006747313,0.000004628191,0.00005687832,0.000301761],"genre_scores_gemma":[0.9963581,0.000004307459,0.0002581689,0.000577701,0.00255767,0.00005282295,0.00005339229,0.00002162084,0.0001161975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5586789,"threshold_uncertainty_score":0.999494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02014090859292646,"score_gpt":0.2811489639710102,"score_spread":0.2610080553780837,"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."}}