{"id":"W7014964435","doi":"","title":"Reaching Out With Research: Engaging Community in Mapping Legal Service Accessibility, Effectiveness and Unmet Needs","year":2008,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Legal Education and Practice Innovations","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Service (business); Stakeholder; Action (physics); Economic Justice; Stakeholder engagement; Community engagement; Power (physics)","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":[0.06664834,0.0007285977,0.0009943231,0.01336392,0.01766602,0.01299378,0.003008017,0.003786427,0.003076327],"category_scores_gemma":[0.08866258,0.0007628062,0.0006209826,0.00964659,0.01211314,0.0133562,0.01909334,0.002363073,0.0003285031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01457713,"about_ca_system_score_gemma":0.0450914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0791157,"about_ca_topic_score_gemma":0.1827027,"domain_scores_codex":[0.9143396,0.0743184,0.001390357,0.00211923,0.004340965,0.003491448],"domain_scores_gemma":[0.9379908,0.04846441,0.002768277,0.003068377,0.004337115,0.003370917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00009458791,0.0002884759,0.02180088,0.0007015043,0.00006565154,0.000721864,0.7837525,0.0005036478,0.000878195,0.01417433,0.002958762,0.1740595],"study_design_scores_gemma":[0.00004130992,0.0001742548,0.010065,0.0005861011,0.00005031377,0.0002638373,0.9346272,0.001427077,0.0004706671,0.02543276,0.02679521,0.00006631771],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8495419,0.002781806,0.04849408,0.024312,0.0002033318,0.002811627,0.0003104171,0.0002190384,0.07132581],"genre_scores_gemma":[0.9369085,0.001461037,0.05604642,0.001125507,0.0000349728,0.002339449,0.0001179669,0.0000415043,0.001924749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0791157,"threshold_uncertainty_score":0.3524743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1657455200678133,"score_gpt":0.4148980720483156,"score_spread":0.2491525519805024,"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."}}