{"id":"W4399444066","doi":"10.1080/02697459.2024.2359790","title":"Human rights and municipal land use bylaws in Atlantic Canada","year":2024,"lang":"en","type":"article","venue":"Planning Practice and Research","topic":"Multicultural Socio-Legal Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Human rights; Environmental planning; Environmental protection; Political science; Geography; Public administration; Law","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001791762,0.00006925716,0.0001075255,0.00007136956,0.001530289,0.000521605,0.00009112668,0.00006435699,0.0000190907],"category_scores_gemma":[0.001151044,0.00004980993,0.000008870818,0.000269745,0.0002978241,0.0005606936,0.0001118146,0.0005671276,0.000004772755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001434485,"about_ca_system_score_gemma":0.0001273571,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9891953,"about_ca_topic_score_gemma":0.9642317,"domain_scores_codex":[0.9981902,0.0005474213,0.0001082092,0.0002179125,0.0005459687,0.0003902909],"domain_scores_gemma":[0.9969886,0.002738727,0.00001694458,0.00005938746,0.00008283095,0.0001134917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001278127,0.0001206367,0.4608416,0.0004077574,0.0002773887,0.004216744,0.4324269,0.00003348808,0.0002220694,0.02919975,0.07060055,0.00152532],"study_design_scores_gemma":[0.0001441099,0.00003158673,0.05543199,0.0002031207,0.00001329128,0.000007926952,0.01757639,0.0001197085,0.000003597184,0.0002279452,0.9261237,0.0001166749],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785012,0.003234013,1.446483e-7,0.006948739,0.00008986495,0.0001645058,0.000002667303,0.00002205599,0.01103682],"genre_scores_gemma":[0.9957832,0.0002774324,0.00004575643,0.00004267717,0.0001399138,0.00001005754,0.000002774262,0.000004684995,0.003693494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8555231,"threshold_uncertainty_score":0.9997696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1672113683953822,"score_gpt":0.4754345611076545,"score_spread":0.3082231927122723,"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."}}