{"id":"W2895139122","doi":"10.1108/ijshe-02-2018-0028","title":"Climate adaptation planning in the higher education sector","year":2018,"lang":"en","type":"article","venue":"International Journal of Sustainability in Higher Education","topic":"Sustainability in Higher Education","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Dalhousie University","keywords":"Higher education; Sustainability; Climate change; Environmental resource management; Adaptation (eye); Action plan; Curriculum; Originality; Environmental planning; Scale (ratio); Business; Political science; Economic growth; Geography; Economics; Management","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004019344,0.0001902713,0.0002219036,0.0008840903,0.0002240697,0.0002911931,0.001095398,0.000187936,0.0008621987],"category_scores_gemma":[0.00123619,0.0001703879,0.0001123683,0.001116135,0.000441272,0.001363507,0.00004943125,0.000462297,0.00001271452],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005204963,"about_ca_system_score_gemma":0.005915585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002772032,"about_ca_topic_score_gemma":0.0004496402,"domain_scores_codex":[0.9959779,0.001103239,0.00101933,0.0003055475,0.001151649,0.000442342],"domain_scores_gemma":[0.9935982,0.0006576173,0.0005160442,0.0003235337,0.00479621,0.0001083777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004557783,0.003420376,0.5451176,0.0001003735,0.00003678601,0.00001305466,0.1801157,0.000581618,0.00002885647,0.2394705,0.005727846,0.02493159],"study_design_scores_gemma":[0.0003363326,0.00009367962,0.6549544,0.0001185887,0.00001656964,0.000008568564,0.101247,0.000009975822,0.00001318191,0.08746716,0.1555728,0.0001617204],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8880498,0.0003771718,0.0000274345,0.08821837,0.01304136,0.0007471472,0.000002066652,0.00002247921,0.009514207],"genre_scores_gemma":[0.9915522,0.0000312873,0.000381523,0.001308976,0.005260816,0.0001304724,0.0000161879,0.00001729567,0.001301269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1520033,"threshold_uncertainty_score":0.99972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05427294396354173,"score_gpt":0.4161796156003179,"score_spread":0.3619066716367761,"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."}}