{"id":"W3009869149","doi":"10.1002/sres.2674","title":"A Systems Thinking Analysis of the Supply Chain Social Responsibility Literature","year":2020,"lang":"en","type":"article","venue":"Systems Research and Behavioral Science","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Reductionism; Sociology; Emancipation; Corporate social responsibility; Epistemology; Systems thinking; Pluralism (philosophy); Supply chain; Sustainability; Social responsibility; Systems theory; Perspective (graphical); Business; Public relations; Political science; Computer science; Marketing; Ecology; Philosophy; Law","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":["metaresearch","bibliometrics","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.03167024,0.0001855259,0.0007524173,0.001266509,0.002208728,0.003377271,0.003048192,0.0001264585,0.00003624362],"category_scores_gemma":[0.003890627,0.00009961287,0.0002586739,0.02526092,0.00171981,0.0006218701,0.001731543,0.0005504176,0.00001420326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001272019,"about_ca_system_score_gemma":0.0004627064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001399445,"about_ca_topic_score_gemma":0.0001562107,"domain_scores_codex":[0.9855877,0.001956339,0.001220573,0.001201185,0.009229803,0.0008044249],"domain_scores_gemma":[0.9939286,0.001275327,0.0004332539,0.001045048,0.002890734,0.0004270592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006560803,0.0004167373,0.6419295,0.0002122376,0.0001400139,0.0001191744,0.06535552,0.001295016,0.09554909,0.1722875,0.01206278,0.009976353],"study_design_scores_gemma":[0.0008251881,0.0009018465,0.8166776,0.0005143256,0.0001518204,0.00005375477,0.04629029,0.1157508,0.0003943266,0.007081111,0.01067133,0.0006875756],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949604,0.001800686,0.0004106568,0.000782422,0.0004961604,0.0007976625,0.0001418954,0.00002655801,0.0005835053],"genre_scores_gemma":[0.9989681,0.000002423699,0.0000366827,0.00002370703,0.0001600936,0.00002528771,9.69789e-7,0.000006916571,0.0007758333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1747481,"threshold_uncertainty_score":0.9990903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3965414782283287,"score_gpt":0.5221189582149738,"score_spread":0.1255774799866451,"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."}}