{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009005934,0.000543855,0.0003914467,0.0008542312,0.003859726,0.007810591,0.0004577039,0.001976843,0.02077652],"category_scores_gemma":[0.002031377,0.0002441946,0.0002513842,0.001271564,0.009668861,0.007606298,0.00210823,0.004717951,0.006136478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002277866,"about_ca_system_score_gemma":0.002238542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004993008,"about_ca_topic_score_gemma":0.007933988,"domain_scores_codex":[0.9991467,0.0004852246,0.00002640732,0.00009559743,0.0001269396,0.0001190594],"domain_scores_gemma":[0.999319,0.0003845568,0.00003605564,0.0000926432,0.0001031101,0.00006453994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000006340948,0.000005996023,0.00005028924,0.00002612472,6.728955e-7,0.00002255662,0.002610192,0.00004210824,0.00009702382,0.9761728,0.01254925,0.008416611],"study_design_scores_gemma":[0.000002203363,0.000008532658,0.0001550748,0.0001867626,0.000002430896,0.00007537097,0.0060804,0.000145054,0.0002949733,0.4651633,0.5278786,0.000007398639],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006868751,0.01364044,0.01755277,0.02638665,0.002517643,0.00003245899,0.0001278891,0.0001474057,0.932726],"genre_scores_gemma":[0.3917033,0.01276637,0.008616111,0.005828469,0.001742769,0.000100935,0.0001530661,0.000596787,0.5784921],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02077652,"threshold_uncertainty_score":0.06950438,"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."}}