{"id":"W7010430749","doi":"","title":"IAG National Report - United Kingdom (2003)","year":2003,"lang":"en","type":"report","venue":"Publication Database GFZ (GFZ German Research Centre for Geosciences)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Imperial College London","keywords":"Kingdom; Government (linguistics); Legislation; Quarter (Canadian coin)","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":[0.001843279,0.002067475,0.001500458,0.008018863,0.001349359,0.005323174,0.002823988,0.00198161,0.1016886],"category_scores_gemma":[0.006863788,0.001167811,0.0007575139,0.01964286,0.0004713759,0.002221104,0.001564196,0.001429235,0.1047751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01107293,"about_ca_system_score_gemma":0.01862326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4299387,"about_ca_topic_score_gemma":0.386373,"domain_scores_codex":[0.997029,0.000241225,0.0003629787,0.000277042,0.001538398,0.0005513807],"domain_scores_gemma":[0.991626,0.0006451399,0.0005436362,0.0005031497,0.00622643,0.0004555573],"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":[0.000251583,0.00008008438,0.002731824,0.0003560777,0.00001932485,0.00006764347,0.00006950449,0.000267605,0.0001691746,0.001003801,0.9821619,0.01282142],"study_design_scores_gemma":[0.00007955264,0.00005377602,0.03603313,0.0002578794,0.00004492465,0.0001055934,0.0002710523,0.0002415265,0.001247137,0.0003868548,0.9612496,0.00002895082],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003865597,0.003101001,0.0006184785,0.001461123,0.001136583,0.000359301,0.8314046,0.0008338601,0.1572195],"genre_scores_gemma":[0.0111573,0.003605847,0.002233664,0.0006069748,0.0001681067,0.0006480804,0.4811495,0.0004627794,0.4999678],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4299387,"threshold_uncertainty_score":0.8548724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.169352431523215,"score_gpt":0.4375604931068874,"score_spread":0.2682080615836724,"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."}}