{"id":"W4311691392","doi":"10.5463/thesis.14","title":"Navigating Difference in Inter- & Transdisciplinary Learning","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athena Sustainable Materials Institute","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Transdisciplinarity; Context (archaeology); Sustainability; Engineering ethics; Discipline; Stakeholder; Sociology; Stakeholder engagement; Interdisciplinarity; Knowledge management; Political science; Engineering; Public relations; Social science; Computer science; Geography","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002906376,0.0003176948,0.0005261643,0.0004245998,0.0006165718,0.0005449907,0.001385065,0.0002099159,0.01467466],"category_scores_gemma":[0.001175715,0.0002578569,0.0002035994,0.002225296,0.00004404181,0.0003517692,0.0003191473,0.002707282,0.0004362391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002280835,"about_ca_system_score_gemma":0.0003319322,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008802744,"about_ca_topic_score_gemma":0.02849012,"domain_scores_codex":[0.9940649,0.0008324995,0.001167828,0.000974574,0.002456364,0.0005038209],"domain_scores_gemma":[0.9976,0.0009673803,0.0003685556,0.000535055,0.0003981135,0.0001308528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.003263924,0.0007363641,0.02152276,0.0002099771,0.00007930555,0.0003100904,0.3330838,0.002681902,0.008210101,0.002319142,0.009150707,0.618432],"study_design_scores_gemma":[0.001243813,0.001319608,0.06112522,0.0008330996,0.00002482957,0.00002354016,0.8552113,0.01121673,0.0007266642,0.04645375,0.02022865,0.001592812],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9318337,0.0001982204,0.000413666,0.0006874635,0.0009044178,0.0003990766,0.0000184284,0.00006305048,0.065482],"genre_scores_gemma":[0.7682759,0.00001226196,0.0001576258,0.00002022681,0.000086143,0.0001829007,0.001009689,0.00003016251,0.2302251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6168392,"threshold_uncertainty_score":0.9999874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08649856394225508,"score_gpt":0.4800575464585845,"score_spread":0.3935589825163294,"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."}}