{"id":"W4328030726","doi":"10.1093/acprof:oso/9780199552191.002.0004","title":"Preface","year":2008,"lang":"en","type":"book-chapter","venue":"","topic":"Legal principles and applications","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TypeScript; Law; Section (typography); Argument (complex analysis); Jurisprudence; Art history; Library science; Sociology; Classics; History; Political science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004695775,0.0007119336,0.0005388108,0.002152345,0.002016928,0.003419685,0.001056569,0.0009268969,0.4739444],"category_scores_gemma":[0.003074151,0.0003332851,0.0003735427,0.002064116,0.000624957,0.002649688,0.001435605,0.002651208,0.2702741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001779132,"about_ca_system_score_gemma":0.001317396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002980344,"about_ca_topic_score_gemma":0.00485034,"domain_scores_codex":[0.9995528,0.00005709685,0.00002526756,0.00007138128,0.0002602293,0.00003319683],"domain_scores_gemma":[0.9987296,0.0002600596,0.00005656243,0.0001254555,0.0007062341,0.0001219998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001120971,0.00001456447,0.00004345437,0.00008764188,9.465156e-7,0.000037746,0.0001409762,0.00005358851,0.00008338104,0.01186812,0.9523751,0.03528318],"study_design_scores_gemma":[0.000001007325,0.000003468723,0.00008373745,0.00007189777,4.408662e-7,0.00003600242,0.0000529047,0.00001551804,0.00002777646,0.001671873,0.9980335,0.000001770068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005528116,0.004381204,0.002332418,0.005632381,0.01490216,0.0001614114,0.003889894,0.0006186108,0.9675291],"genre_scores_gemma":[0.003072939,0.002461872,0.00130201,0.001483883,0.00271984,0.00009805748,0.003751888,0.0004957275,0.9846139],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4739444,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05640861463835353,"score_gpt":0.3076155258914156,"score_spread":0.251206911253062,"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."}}