{"id":"W7028935032","doi":"","title":"Inclusionary Zoning: Identifying Possible Legal Challenges within Canada and How Best to Pre-empt Them","year":2020,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Autoimmune Bullous Skin Diseases","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Obligation; Government (linguistics); State (computer science); State government; Zoning; Local government","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01962952,0.0005064177,0.0009899904,0.005528533,0.05104915,0.02673147,0.004921908,0.004005055,0.003963791],"category_scores_gemma":[0.05002028,0.000691005,0.0007715483,0.009721014,0.0323153,0.01173772,0.01204463,0.006710995,0.0002247903],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2040107,"about_ca_system_score_gemma":0.435926,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9848689,"about_ca_topic_score_gemma":0.9940093,"domain_scores_codex":[0.9689426,0.007559716,0.001260031,0.001992825,0.009877129,0.01036762],"domain_scores_gemma":[0.9623858,0.01363453,0.004758803,0.001207559,0.01234574,0.005667607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007398015,0.000090358,0.07772069,0.001287662,0.00008928699,0.003418155,0.3550371,0.001415738,0.0009076993,0.4285463,0.02625962,0.1051533],"study_design_scores_gemma":[0.00001046734,0.00002175528,0.04604018,0.002447415,0.00007237943,0.0004372578,0.7849734,0.001075279,0.0004818189,0.04096616,0.1233279,0.0001459884],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4728725,0.02913443,0.008152639,0.3383555,0.0007333101,0.000496194,0.0006561324,0.0001044373,0.1494949],"genre_scores_gemma":[0.9736847,0.008689287,0.005204888,0.006524611,0.00005616325,0.00009894744,0.0001615113,0.00003054781,0.005549429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2040107,"threshold_uncertainty_score":0.9232348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1185125041182894,"score_gpt":0.3071556417814785,"score_spread":0.1886431376631892,"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."}}