{"id":"W123139672","doi":"10.29173/alr45","title":"Qualitative Research on Legal Education: Studying Outstanding Law Teachers","year":2014,"lang":"en","type":"article","venue":"Alberta Law Review","topic":"Legal Education and Practice Innovations","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Qualitative research; Legal research; Sociology; Quality (philosophy); Process (computing); Law; Legal education; Data collection; Engineering ethics; Mathematics education; Psychology; Political science; Social science; Epistemology; Computer science; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009461037,0.0001038865,0.0002050374,0.00006231455,0.001588666,0.0003245621,0.0003080881,0.00005879547,0.0008503564],"category_scores_gemma":[0.00603373,0.00009335936,0.00006363785,0.0009736634,0.0003765869,0.0008417708,0.00002857055,0.000602102,0.001141444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002424453,"about_ca_system_score_gemma":0.0008177146,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1182274,"about_ca_topic_score_gemma":0.04404158,"domain_scores_codex":[0.9947767,0.003667184,0.0003338782,0.0002729327,0.0006331365,0.0003161982],"domain_scores_gemma":[0.9943219,0.004574842,0.0001450183,0.0003360687,0.0004783457,0.0001437674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001634233,0.0001110265,0.00001448194,0.00008089934,0.00001190609,7.485463e-8,0.0445657,1.255178e-7,9.665298e-7,0.916728,0.0340941,0.004391057],"study_design_scores_gemma":[0.00005606019,0.00003401734,0.000009126247,0.0008683272,0.00001969263,5.193107e-7,0.02572772,4.051718e-7,0.00000337711,0.00516593,0.9679997,0.0001151438],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0005967544,0.002169235,0.0000105727,0.1670978,0.0005578133,0.0004678923,6.292822e-7,0.00002252352,0.8290768],"genre_scores_gemma":[0.9265014,0.002041494,0.0002966375,0.03165249,0.0008611795,0.0002096127,0.00001647874,0.0000193147,0.0384014],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9339056,"threshold_uncertainty_score":0.9997112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3452753466288712,"score_gpt":0.6086062936886351,"score_spread":0.2633309470597638,"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."}}