{"id":"W2156836974","doi":"10.1017/s1472669605000630","title":"AALL 2004 – a Boston Beano","year":2005,"lang":"en","type":"article","venue":"Legal Information Management","topic":"Legal Education and Practice Innovations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Exhibition; Quarter (Canadian coin); Nephew and niece; Sitting; Lift (data mining); History; Media studies; Art; Political science; Art history; Sociology; Medicine; Advertising; Law; Archaeology; Business; Computer 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005968211,0.00006753369,0.00005235669,0.0001916125,0.0004637589,0.0006182073,0.0001800066,0.00004156919,0.001733054],"category_scores_gemma":[0.00008580434,0.00007168893,0.00003134615,0.0004920508,0.00004678842,0.007892936,0.00003043732,0.0001441418,0.003549305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000212368,"about_ca_system_score_gemma":0.0001375717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001504981,"about_ca_topic_score_gemma":0.000750661,"domain_scores_codex":[0.9990355,0.00004386963,0.0002804483,0.00006633533,0.0003728382,0.0002009488],"domain_scores_gemma":[0.9994749,0.00002537482,0.000137011,0.0001508081,0.0001401848,0.00007171163],"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":[0.000004177092,0.00002955201,0.00003354775,0.000007634944,0.00001145578,2.112449e-7,0.006410511,0.0001967486,4.405115e-7,0.6942313,0.2344779,0.0645966],"study_design_scores_gemma":[0.0001647847,0.000006797287,0.0004467977,0.000005009871,0.000009527234,2.330635e-7,0.005650681,0.0001408739,0.000009850635,0.0003991162,0.9930736,0.00009277323],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0006140092,0.00001479105,0.005146183,0.1162075,0.000445108,0.0002983067,0.000002796458,0.0001344222,0.8771369],"genre_scores_gemma":[0.8657765,0.0001021588,0.01350075,0.03301152,0.0007566956,0.00009999059,0.00010481,0.00000796785,0.0866396],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8651625,"threshold_uncertainty_score":0.9991795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01737800081076983,"score_gpt":0.3336951625272107,"score_spread":0.3163171617164409,"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."}}