{"id":"W2517771749","doi":"10.1016/j.jclepro.2016.09.005","title":"Learning through evaluation – A tentative evaluative scheme for sustainability transition experiments","year":2016,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":359,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg; National Science Foundation","keywords":"Sustainability; Formative assessment; Transition (genetics); Scheme (mathematics); Scholarship; Social justice; Sustainability science; Computer science; Management science; Social sustainability; Engineering ethics; Sociology; Knowledge management; Process management; Political science; Engineering; Social science; Ecology; Pedagogy; 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":[],"consensus_categories":[],"category_scores_codex":[0.002663393,0.0001169311,0.000165434,0.00002991844,0.0001672417,0.00001552793,0.00009640059,0.00005370164,0.0005776443],"category_scores_gemma":[0.002385073,0.00007994454,0.000113447,0.0001397527,0.0001858584,0.001292855,0.00002371476,0.000109346,0.000008561608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002021329,"about_ca_system_score_gemma":0.00008760166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002201843,"about_ca_topic_score_gemma":0.000009788177,"domain_scores_codex":[0.9980921,0.0003409846,0.0003805162,0.0002774027,0.0007019012,0.0002071541],"domain_scores_gemma":[0.9986047,0.00009174563,0.0005165858,0.0001309211,0.0006126115,0.00004349543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006681865,0.001735878,0.02094823,0.0002889892,0.0002278054,0.000008064422,0.2505552,0.04114849,0.331101,0.0002867894,0.004613734,0.3424039],"study_design_scores_gemma":[0.00996508,0.005822135,0.05161445,0.0003439113,0.000456307,0.0001564495,0.3482882,0.003477312,0.3692873,0.1900725,0.01959156,0.0009247032],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875023,0.00005825966,0.005537795,0.005388708,0.0003162262,0.0008446985,0.000002219249,0.00001157266,0.0003381762],"genre_scores_gemma":[0.9973287,0.0000406406,0.001628548,0.00004805271,0.0002707395,0.00007675446,0.000002251327,0.00001216916,0.0005921733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3414792,"threshold_uncertainty_score":0.63248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04501356637890862,"score_gpt":0.353159649495101,"score_spread":0.3081460831161924,"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."}}