{"id":"W302296022","doi":"10.14453/ltc.531","title":"Contents, acknowledgements and contributors","year":2012,"lang":"en","type":"article","venue":"Law/text/culture","topic":"Legal Education and Practice Innovations","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"McGill University","keywords":"History; Library science; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004464325,0.00009567583,0.0001076612,0.00002359969,0.0007384568,0.0002207262,0.0001297791,0.0001230554,0.001964102],"category_scores_gemma":[0.0009841272,0.00007840164,0.00003116974,0.0002931958,0.0001853139,0.001185912,0.0000314099,0.0002461426,0.0007774504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006970006,"about_ca_system_score_gemma":0.00007184811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007563481,"about_ca_topic_score_gemma":0.001076331,"domain_scores_codex":[0.9990343,0.0001407469,0.0001513824,0.0001299223,0.0002198825,0.0003237279],"domain_scores_gemma":[0.9990499,0.00007168439,0.00009677009,0.0001165264,0.000469797,0.0001953442],"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":[0.00000703978,0.0001459291,0.01054435,0.000006872362,0.00003532404,3.481095e-7,0.0395663,3.903e-8,0.0001746947,0.6590053,0.2884425,0.00207136],"study_design_scores_gemma":[0.0002567273,0.00001183154,0.005026367,0.000008906924,0.0000224921,7.858479e-7,0.007643335,5.046286e-7,0.00008796598,0.0008993112,0.9859281,0.0001137053],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03819494,0.00298005,0.00009047612,0.02339472,0.00567861,0.0005848914,0.00004676115,0.000179814,0.9288498],"genre_scores_gemma":[0.9369279,0.0001444965,0.0002110806,0.003680416,0.001119495,0.00002203759,0.00002487165,0.000007401975,0.05786237],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8987329,"threshold_uncertainty_score":0.9992812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03941823860959703,"score_gpt":0.3739004724613876,"score_spread":0.3344822338517905,"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."}}