{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005535653,0.000201834,0.0004865512,0.002407369,0.01791246,0.007850349,0.001983273,0.0008803529,0.004146114],"category_scores_gemma":[0.01742248,0.0002980906,0.0002931517,0.007449173,0.009907003,0.0017529,0.004182477,0.002316624,0.0001136889],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1863877,"about_ca_system_score_gemma":0.2588909,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9982627,"about_ca_topic_score_gemma":0.9994367,"domain_scores_codex":[0.9928597,0.001260359,0.0001885766,0.0005627124,0.002134091,0.002994614],"domain_scores_gemma":[0.9836591,0.005007548,0.002179291,0.000630675,0.005899199,0.00262414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001197713,0.0001708076,0.311592,0.0003756654,0.0001180267,0.0007284826,0.3093263,0.002336081,0.0005845559,0.2638153,0.02226116,0.08857202],"study_design_scores_gemma":[0.00002358846,0.00003770201,0.3872233,0.0006410256,0.00009292192,0.00008226674,0.4798509,0.001934292,0.0004773566,0.01060955,0.1189045,0.0001226071],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8886827,0.002214565,0.0008343842,0.01295418,0.00007056495,0.0001405377,0.000736516,0.00001850319,0.0943481],"genre_scores_gemma":[0.9935399,0.0006381572,0.000354429,0.0004549277,0.000006119955,0.00002770841,0.0001139636,0.000007959661,0.004856844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1863877,"threshold_uncertainty_score":0.9436749,"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."}}