{"id":"W6984851522","doi":"","title":"","year":2021,"lang":"en","type":"other","venue":"Directory of Open access Books (OAPEN Foundation)","topic":"Advanced Computational Techniques in Science and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cultural policy; Cultural identity; Cultural analysis; Government (linguistics); Cultural studies; Corporate governance; Context (archaeology); Citizenship; State (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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001434211,0.0002769188,0.0002479325,0.0007138113,0.005778721,0.007208634,0.001058317,0.002167704,0.07997059],"category_scores_gemma":[0.003344771,0.0001527963,0.0002257381,0.001752539,0.005302692,0.003265852,0.0020498,0.001977512,0.0184015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01021183,"about_ca_system_score_gemma":0.01132211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2309644,"about_ca_topic_score_gemma":0.3960054,"domain_scores_codex":[0.9988536,0.0001677527,0.00002513739,0.0001608214,0.0005542263,0.0002384228],"domain_scores_gemma":[0.9985579,0.0002272684,0.00006827857,0.0001551326,0.0006742945,0.000317007],"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":[0.00001019289,0.00001131321,0.0006683362,0.00005953022,0.000003378472,0.00007127185,0.002438495,0.000120557,0.0001958914,0.6304518,0.3119278,0.05404145],"study_design_scores_gemma":[0.000001300665,0.000002708123,0.0006429284,0.00007418425,0.000001720756,0.00003650984,0.002078064,0.0000923998,0.00009518781,0.02893061,0.9680399,0.000004487655],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002933011,0.003125166,0.003492728,0.04992799,0.001067995,0.00002412259,0.0002726821,0.0001025005,0.9390538],"genre_scores_gemma":[0.1037577,0.00494757,0.003814072,0.01692996,0.0003243769,0.00003333704,0.0003787749,0.0001277811,0.8696865],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9200294,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09898340716548497,"score_gpt":0.4371230380429441,"score_spread":0.3381396308774591,"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."}}