{"id":"W2758352859","doi":"10.5840/cpsem201610","title":"Before, Below, Behind, Beyond","year":2016,"lang":"en","type":"book-chapter","venue":"Semiotics","topic":"Migration, Policy, and Dickens Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"History","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003301588,0.0002784096,0.000360914,0.0001171644,0.0007398602,0.00005677733,0.0003059952,0.0004866396,0.0008321551],"category_scores_gemma":[0.0002123537,0.0002271141,0.0001800036,0.00002337083,0.0006556366,0.00008586539,0.00009967249,0.0002081674,0.00085643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001892163,"about_ca_system_score_gemma":0.0003274537,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004188458,"about_ca_topic_score_gemma":0.04215496,"domain_scores_codex":[0.9983684,0.00002965966,0.0003125793,0.0003065422,0.000556544,0.0004262075],"domain_scores_gemma":[0.9989427,0.0001242767,0.0002096707,0.0003193653,0.0002232403,0.0001807402],"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":[0.000002238554,0.000007082664,0.000317909,0.00001549587,0.0000601194,0.00000418118,0.02534384,1.430331e-7,6.724844e-7,0.8557348,0.1145537,0.003959763],"study_design_scores_gemma":[0.00008735903,0.00002664204,0.00008389661,0.00007106933,0.00006157225,5.440407e-7,0.0002826143,3.742954e-7,0.000002396696,0.2534359,0.745729,0.0002186286],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0000992186,0.0008229523,0.0000360476,0.003245102,0.0009070622,0.0002331449,0.0001559733,0.0001093113,0.9943912],"genre_scores_gemma":[0.004681797,0.002286968,0.0001628337,0.0008042133,0.003605891,0.000002921175,0.00002493921,0.00004716598,0.9883833],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6311752,"threshold_uncertainty_score":0.9999215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02100355336792413,"score_gpt":0.2907792442795347,"score_spread":0.2697756909116105,"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."}}