{"id":"W4389727640","doi":"10.31223/x5ch5w","title":"Transdisciplinary doctoral training to address global sustainability challenges","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Institutes of Health","keywords":"Sustainability; Training (meteorology); Engineering ethics; Political science; Sociology; Knowledge management; Geography; Computer science; Engineering; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006234413,0.0006065568,0.0004749616,0.001054913,0.001887657,0.004165091,0.0008245879,0.002039603,0.08660144],"category_scores_gemma":[0.008984732,0.0002210768,0.0005810338,0.001192027,0.0009314655,0.003391881,0.006057536,0.002734747,0.01636147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00207561,"about_ca_system_score_gemma":0.004923961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006383699,"about_ca_topic_score_gemma":0.001245994,"domain_scores_codex":[0.9982548,0.0007137454,0.00005549928,0.0001908295,0.0004078945,0.0003771357],"domain_scores_gemma":[0.9934357,0.001329705,0.0001623417,0.0006166932,0.0008007071,0.003654879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001621201,0.0004530795,0.002496359,0.0004038219,0.00009582477,0.0002251967,0.0023427,0.002647262,0.002167633,0.4866382,0.2662481,0.2361197],"study_design_scores_gemma":[0.00006063009,0.00009752691,0.003174381,0.0004433375,0.00002361646,0.000452383,0.003666743,0.006097435,0.00198648,0.335555,0.6484228,0.00001962663],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06558943,0.009589227,0.08364449,0.1557102,0.02449837,0.0002016105,0.001095583,0.0007406055,0.6589304],"genre_scores_gemma":[0.4303485,0.00834185,0.03021665,0.01089714,0.007082054,0.0004070632,0.001598908,0.0006176853,0.5104901],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08660144,"threshold_uncertainty_score":0.2897106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1477160175253015,"score_gpt":0.348064041654705,"score_spread":0.2003480241294035,"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."}}