{"id":"W2233951085","doi":"","title":"Understanding the Legal Client’s Best Interests: Lessons from Therapeutic Jurisprudence and Comprehensive Justice","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Legal Systems and Judicial Processes","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Adversarial system; Therapeutic jurisprudence; Best practice; Jurisprudence; Legal ethics; Political science; Economic Justice; Best interests; Law; Legal profession; Sociology; Psychology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008350154,0.0001371474,0.0001758888,0.00004577426,0.001833757,0.0006720244,0.0004083589,0.00008632437,0.0000686482],"category_scores_gemma":[0.00009237435,0.00009330867,0.00006030473,0.0001956418,0.0003863589,0.0006548615,0.00005447668,0.001252611,0.00005931883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008493133,"about_ca_system_score_gemma":0.001368913,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03140932,"about_ca_topic_score_gemma":0.04535564,"domain_scores_codex":[0.9975113,0.0002881312,0.0002401427,0.0001982125,0.000396696,0.001365555],"domain_scores_gemma":[0.9990716,0.0003691577,0.0001833475,0.0001091721,0.0001468585,0.000119888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001535828,0.00003169637,0.0009269907,0.000007013069,0.0001261121,0.000002568491,0.006362204,0.000005829861,0.0002229358,0.9852247,0.0003479918,0.006726602],"study_design_scores_gemma":[0.0003461452,0.0001598381,0.001142224,0.00009403877,0.0001461407,0.00004991833,0.2619929,0.00005991627,0.00001016035,0.7156289,0.02015752,0.000212289],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7913425,0.04632571,0.04785919,0.07945449,0.002636305,0.001081298,0.000009684326,0.0001260153,0.03116483],"genre_scores_gemma":[0.9899897,0.00775853,0.000009523727,0.0005022783,0.0009140978,0.000007332661,5.336102e-7,0.00001335871,0.0008046264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2695958,"threshold_uncertainty_score":0.9994657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08505117815841898,"score_gpt":0.3416158143662374,"score_spread":0.2565646362078184,"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."}}