{"id":"W3189546455","doi":"10.3390/su13168950","title":"Integrating Programmatic Expertise from across the US and Canada to Model and Guide Leadership Training for Graduate Students in Sustainability","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Sustainability in Higher Education","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Socio-Environmental Synthesis Center","keywords":"Sustainability; Suite; Process (computing); Work (physics); Computer science; Knowledge management; Training (meteorology); Engineering ethics; Engineering; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005022234,0.0002595865,0.0003872186,0.00004405939,0.001040707,0.0004689702,0.0004419868,0.0001329642,0.000005261443],"category_scores_gemma":[0.04196925,0.0002323232,0.00006431608,0.0005486344,0.0007503555,0.0003151055,0.0002790632,0.0003211721,7.168104e-8],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.009683077,"about_ca_system_score_gemma":0.01186906,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8248174,"about_ca_topic_score_gemma":0.96351,"domain_scores_codex":[0.9956831,0.001003218,0.0006362029,0.0008570194,0.0006715937,0.00114892],"domain_scores_gemma":[0.994365,0.001762588,0.0001197683,0.0006217516,0.002805303,0.0003256405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007682511,0.0001636162,0.4517353,0.0004281505,0.00001872755,0.00001198894,0.5046026,0.000744068,0.000004291268,0.002415145,0.0001538576,0.03964548],"study_design_scores_gemma":[0.0003440071,0.00002875305,0.2147891,0.00002367004,0.00001509722,6.361795e-7,0.7114065,0.00107835,0.00001899107,0.07093916,0.001138779,0.0002169778],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9409892,0.000203835,0.0006501101,0.05446049,0.0001489978,0.003449626,0.00002089493,0.00004777475,0.00002909396],"genre_scores_gemma":[0.996301,0.000005094696,0.001193553,0.0006286071,0.00009091201,0.00123399,0.00001115914,0.00002074894,0.0005149416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2369462,"threshold_uncertainty_score":0.9941186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1032527616626306,"score_gpt":0.4260245281276992,"score_spread":0.3227717664650686,"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."}}