{"id":"W2704525809","doi":"10.1080/08109028.2017.1331612","title":"Materiality and sustainability transitions: integrating climate change in transport infrastructure in Ontario, Canada","year":2016,"lang":"en","type":"article","venue":"Prometheus","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Materiality (auditing); Sustainability; Climate change; Critical infrastructure; Context (archaeology); Environmental planning; Business; Political science; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006429191,0.0001209669,0.0002073177,0.00005905644,0.0001087887,0.00002448229,0.0001317202,0.0001079286,0.0004109558],"category_scores_gemma":[0.0001077808,0.00008439217,0.00002035093,0.0002051753,0.0001472737,0.0004323261,0.00001658452,0.0001688984,2.591122e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001337225,"about_ca_system_score_gemma":0.0009086599,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9919624,"about_ca_topic_score_gemma":0.9996402,"domain_scores_codex":[0.9987163,0.0001510561,0.000262046,0.0002513252,0.0002055338,0.0004137666],"domain_scores_gemma":[0.9996582,0.00003558061,0.00006362356,0.0001154897,0.00005547208,0.00007168869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003897944,0.00001216024,0.9449741,0.00004171019,0.000002464627,0.00001867255,0.03763784,7.421909e-7,0.0001560682,0.003234807,0.00001541538,0.01386708],"study_design_scores_gemma":[0.0003541055,0.00001707415,0.9767584,0.00009215792,0.000003056644,0.000001123939,0.002715497,0.000001260213,0.0001078332,0.01475725,0.005060458,0.0001317461],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947014,0.00003127065,0.00001664456,0.003597201,0.0001806171,0.0004673697,0.00006738934,0.0000161341,0.0009219576],"genre_scores_gemma":[0.9994351,0.00005476969,0.0001838659,0.0001362066,0.00004941697,0.00006926258,0.000003886872,0.000006564825,0.00006094727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03492234,"threshold_uncertainty_score":0.4499678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01043795522216971,"score_gpt":0.253492916343685,"score_spread":0.2430549611215153,"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."}}