{"id":"W4396706607","doi":"10.1177/0739456x241247330","title":"Dividing Highways: Barrier Effects and Environmental Justice in California","year":2024,"lang":"en","type":"article","venue":"Journal of Planning Education and Research","topic":"Environmental Justice and Health Disparities","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Environmental justice; Economic Justice; Geography; Environmental planning; Political science; Law","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":[0.0004102683,0.0001353621,0.000189001,0.001322389,0.001323133,0.0009061293,0.0005637285,0.0003221827,0.003055428],"category_scores_gemma":[0.002549114,0.0001206125,0.0002353345,0.001712012,0.0007851077,0.0006731934,0.001137914,0.0006231492,0.0000960588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002016443,"about_ca_system_score_gemma":0.001734075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3490475,"about_ca_topic_score_gemma":0.580093,"domain_scores_codex":[0.9995236,0.00009749887,0.00001803317,0.00008826797,0.0001137187,0.0001588887],"domain_scores_gemma":[0.9981447,0.0003972403,0.0006230312,0.00008909105,0.0003655857,0.0003803751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007557747,0.0002594805,0.9779148,0.00005332673,0.0000886273,0.0001022484,0.001797004,0.0009719993,0.0001050454,0.002966819,0.003447519,0.01221748],"study_design_scores_gemma":[0.00001424111,0.00005227442,0.9925697,0.0000490789,0.00006308217,0.00004011384,0.003083025,0.0007864533,0.00006462414,0.0006823809,0.002582158,0.00001269893],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943802,0.0003359909,0.00006855313,0.0003149359,0.000008594558,0.000007372791,0.000303323,0.00000486929,0.004576041],"genre_scores_gemma":[0.9992331,0.0001442034,0.00006385577,0.0000314119,0.000006301581,0.000004428446,0.0001791527,0.000001588757,0.0003359577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3490475,"threshold_uncertainty_score":0.6940316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05414081431298887,"score_gpt":0.4363096287110887,"score_spread":0.3821688143980998,"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."}}