{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.03728816,0.001019565,0.001163051,0.004211931,0.01121999,0.02052042,0.003486945,0.007072958,0.005971753],"category_scores_gemma":[0.02293881,0.0004159691,0.001550865,0.00388406,0.06735551,0.03379092,0.01421437,0.01087625,0.0007937222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01341389,"about_ca_system_score_gemma":0.01794484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002908771,"about_ca_topic_score_gemma":0.006153388,"domain_scores_codex":[0.9719704,0.02324513,0.0004563853,0.001334084,0.001879526,0.001114544],"domain_scores_gemma":[0.9702027,0.02421932,0.001310976,0.001267186,0.001527723,0.001472099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000184878,0.00001732016,0.0001211359,0.0005578035,0.00001271808,0.0001580591,0.04895245,0.0002299327,0.0001642746,0.9285579,0.004809489,0.01640045],"study_design_scores_gemma":[0.00001179883,0.00003139396,0.0001737845,0.002581063,0.00001918456,0.0002314811,0.05139967,0.0005794138,0.0002376862,0.6929199,0.2517861,0.00002852203],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03763306,0.1600433,0.148623,0.4475167,0.008144293,0.0003455956,0.0001028053,0.0001976045,0.1973936],"genre_scores_gemma":[0.7962165,0.06900473,0.06609119,0.04970844,0.002479475,0.001133419,0.0001150756,0.0003643323,0.01488673],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.98878,"threshold_uncertainty_score":0.197201,"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."}}