{"id":"W4402472458","doi":"10.5304/jafscd.2024.134.011","title":"\"Doing more good\": Exploring the multidisciplinary landscape of regeneration as a boundary concept for paradigm change","year":2024,"lang":"en","type":"article","venue":"Journal of Agriculture Food Systems and Community Development","topic":"Innovative Approaches in Technology and Social Development","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Arrell Food Institute, University of Guelph","keywords":"Multidisciplinary approach; Regeneration (biology); Paradigm shift; Boundary (topology); Engineering ethics; Sociology; Cognitive science; Psychology; Epistemology; Engineering; Social science; Philosophy; Biology; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001527169,0.0001614467,0.0002846425,0.000154779,0.0009858434,0.0002173655,0.0002711038,0.00009950073,0.000001547643],"category_scores_gemma":[0.00005057911,0.00009093995,0.00007167528,0.0003923005,0.00008095273,0.0006111296,0.0002053617,0.0005274936,0.000001053138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000597719,"about_ca_system_score_gemma":0.00007887331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004678338,"about_ca_topic_score_gemma":0.00004074099,"domain_scores_codex":[0.9989097,0.00006545888,0.000549968,0.00009156136,0.0002292853,0.0001540817],"domain_scores_gemma":[0.9990099,0.0001207865,0.0003927073,0.000108201,0.0003577376,0.00001067617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003298557,0.0010269,0.008589016,0.007447635,0.003539684,0.00004732735,0.2737214,0.0002702833,0.002530046,0.5434793,0.02273334,0.1362852],"study_design_scores_gemma":[0.001547343,0.0005396382,0.0690257,0.003869968,0.0002571927,0.0002025324,0.2050707,0.0004970668,0.003373049,0.005328207,0.7094475,0.0008411417],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880314,0.00516158,0.001755268,0.002549996,0.001401879,0.0005838276,0.000004016621,0.00004091899,0.0004711169],"genre_scores_gemma":[0.9978098,0.00006467418,0.0008893631,0.00009479031,0.0008874954,0.0001439474,0.00002800249,0.00001124678,0.0000706954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6867142,"threshold_uncertainty_score":0.758241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06286917832298451,"score_gpt":0.2607055153903766,"score_spread":0.1978363370673921,"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."}}