{"id":"W2492795536","doi":"10.1017/cbo9781139043281.004","title":"Note on the text and translation","year":2012,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Conflict of Laws and Jurisdiction","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Translation (biology); Natural language processing; Computer science; Linguistics; Artificial intelligence; Philosophy; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001637437,0.00098176,0.0009207018,0.003260479,0.001936107,0.004061551,0.00131042,0.001481744,0.5554259],"category_scores_gemma":[0.01862779,0.0006099481,0.0005375528,0.00347446,0.0009682956,0.003446523,0.002283736,0.003878256,0.5403593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001946117,"about_ca_system_score_gemma":0.002706245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00595046,"about_ca_topic_score_gemma":0.008474787,"domain_scores_codex":[0.9985117,0.0002097931,0.0001517292,0.000177621,0.0008504975,0.00009857141],"domain_scores_gemma":[0.9917956,0.002430365,0.0003077825,0.0009284836,0.004222273,0.000315573],"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":[0.0000158377,0.00001236454,0.00001634819,0.0001457437,8.853033e-7,0.00003114694,0.0001161711,0.00002704752,0.0002280297,0.004851011,0.9749946,0.01956069],"study_design_scores_gemma":[0.000002778433,0.000006160175,0.0001228881,0.00007987317,9.419423e-7,0.00002932967,0.00005666665,0.00001903303,0.00009945119,0.0009620726,0.9986159,0.000004897881],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008862418,0.002313013,0.004679901,0.01751618,0.05619214,0.0008536252,0.03325503,0.003799572,0.8805044],"genre_scores_gemma":[0.002587119,0.002172927,0.003440612,0.002871293,0.003648113,0.0005386984,0.01195096,0.00336824,0.9694221],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5554259,"threshold_uncertainty_score":0.634131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04312504416634884,"score_gpt":0.2401616902240032,"score_spread":0.1970366460576544,"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."}}