{"id":"W1545767087","doi":"10.2139/ssrn.1640533","title":"Comparing and Understanding Legal Aid Priorities","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Legal Education and Practice Innovations","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Political science","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":[0.01884202,0.0003061027,0.0004612258,0.00941862,0.004159067,0.01171794,0.001845962,0.001625752,0.01069502],"category_scores_gemma":[0.07953437,0.000495373,0.0003034434,0.006142061,0.003234642,0.01535917,0.005042396,0.002354188,0.0006084139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01047786,"about_ca_system_score_gemma":0.01040257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02385739,"about_ca_topic_score_gemma":0.04188766,"domain_scores_codex":[0.987043,0.006972943,0.0007226544,0.0007319619,0.002213939,0.002315447],"domain_scores_gemma":[0.9376753,0.04352104,0.006814527,0.001055416,0.007059473,0.003874312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004051132,0.0004523775,0.329224,0.0006101034,0.0001324191,0.0005843608,0.1063233,0.003200746,0.0008216284,0.38758,0.007905865,0.1627601],"study_design_scores_gemma":[0.00008044783,0.0002377779,0.2089308,0.0007805931,0.0001402777,0.0001831814,0.4717636,0.008123636,0.001684765,0.2687012,0.03926415,0.0001095705],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8636535,0.0008380556,0.005248724,0.009982051,0.00007278491,0.0001187171,0.0003657268,0.00004016078,0.1196802],"genre_scores_gemma":[0.9975421,0.0001882546,0.001273405,0.0001429031,0.000007876391,0.00001954615,0.00007851526,0.000007844824,0.000739553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02385739,"threshold_uncertainty_score":0.09964728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06590970118146412,"score_gpt":0.3586344765920743,"score_spread":0.2927247754106102,"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."}}