{"id":"W6926547516","doi":"10.25318/3510015101-eng","title":"Legal aid applications, by status of applications and type of matter","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Civil procedure; Legal research; Jurisprudence; Legal status","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":[0.0006899846,0.001043907,0.001114125,0.005285318,0.0008808626,0.002611122,0.00137489,0.0009988638,0.07221641],"category_scores_gemma":[0.009407149,0.0006011821,0.0007123265,0.01514939,0.0003185412,0.001289742,0.001023436,0.001724726,0.08223741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003240316,"about_ca_system_score_gemma":0.005523277,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1409263,"about_ca_topic_score_gemma":0.1712709,"domain_scores_codex":[0.9984618,0.0001163087,0.0002908768,0.0003900723,0.0004672727,0.0002736235],"domain_scores_gemma":[0.9951497,0.0009786431,0.0007189025,0.0006492264,0.002112619,0.0003909914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003281028,0.00001227227,0.001969026,0.0002310947,0.000011635,0.00001233951,0.00001543642,0.00009151577,0.00003657077,0.0004010927,0.9954913,0.001694934],"study_design_scores_gemma":[0.0001125066,0.00001106187,0.01731734,0.0003357389,0.00002067214,0.00004439319,0.0001440519,0.0001935909,0.0001974775,0.0004868432,0.9811152,0.00002108662],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002179013,0.00004242045,0.00001714121,0.00005342891,0.00002025478,0.0000083399,0.9983694,0.00005977082,0.00121135],"genre_scores_gemma":[0.0008628523,0.00009364025,0.00009632081,0.00005380369,0.00001271742,0.00005889197,0.9959754,0.00003301833,0.002813355],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8590737,"threshold_uncertainty_score":0.280212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008044564677561388,"score_gpt":0.297784575353449,"score_spread":0.2897400106758877,"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."}}