{"id":"W2929520862","doi":"10.11575/prism/32759","title":"Summary Legal Advice Services in Alberta: Survey Results from the First Two Years of Data Collection","year":2018,"lang":"en","type":"article","venue":"PRISM (University of Calgary)","topic":"Legal Education and Practice Innovations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Advice (programming); Data collection; Computer science; Sociology; Social science","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":[0.005910383,0.0003383655,0.0003987987,0.003199894,0.001735556,0.002059195,0.001601609,0.0006296053,0.001780904],"category_scores_gemma":[0.01450404,0.0004868001,0.0004953897,0.006974685,0.0008897027,0.0008182941,0.001914048,0.001143472,0.0004387408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0211242,"about_ca_system_score_gemma":0.03028418,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9588876,"about_ca_topic_score_gemma":0.9712529,"domain_scores_codex":[0.9945098,0.0006048916,0.0003475535,0.000296981,0.003361767,0.0008790392],"domain_scores_gemma":[0.9870297,0.00207582,0.002540016,0.0003185441,0.006439624,0.001596296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001301899,0.0002254148,0.9638976,0.0001311074,0.00004092831,0.0001203466,0.008432324,0.0002990308,0.0001764755,0.0001357625,0.003161638,0.02324919],"study_design_scores_gemma":[0.00000507358,0.0000455375,0.993117,0.00002856273,0.000007199453,0.00001357214,0.005439805,0.0001283535,0.00005016396,0.000009055889,0.001147565,0.000008113499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865079,0.0003924238,0.000189314,0.0004677736,0.00001203866,0.0003641982,0.007356901,0.00003262478,0.00467692],"genre_scores_gemma":[0.9816787,0.000748037,0.001002648,0.0003489649,0.00001164835,0.0004249401,0.01051274,0.00001491303,0.005257389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04111236,"threshold_uncertainty_score":0.1532675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03926256618920762,"score_gpt":0.3019631827016875,"score_spread":0.2627006165124799,"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."}}