{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","bibliometrics","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.06465728,0.001229736,0.001168316,0.01018639,0.002972494,0.002629481,0.004808776,0.000895555,0.004144412],"category_scores_gemma":[0.1622661,0.001226383,0.0004426731,0.02607882,0.002440857,0.003683335,0.0015583,0.0028148,0.003771252],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.00648023,"about_ca_system_score_gemma":0.04594981,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008234378,"about_ca_topic_score_gemma":0.001772599,"domain_scores_codex":[0.960704,0.001863708,0.003166348,0.00484875,0.02476715,0.004650087],"domain_scores_gemma":[0.9018821,0.001715248,0.002832349,0.004803202,0.08667713,0.002089931],"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":[0.0000680328,0.0008717285,0.001415975,0.0004369735,0.0001365834,0.0001107235,0.00008118582,0.000008822298,0.0001380265,0.01812484,0.9777905,0.0008165647],"study_design_scores_gemma":[0.001021121,0.00007199233,0.001364225,0.000280647,0.00008550153,0.0007498989,0.0001039872,0.002577394,0.0002669753,0.0007893406,0.9914421,0.001246776],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005606715,0.001860766,0.006557389,0.03580526,0.01757182,0.03638369,0.5247085,0.003848257,0.3676576],"genre_scores_gemma":[0.002737853,0.00066928,0.009281607,0.0007848092,0.003108041,0.004091106,0.7318094,0.0007375833,0.2467803],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2071009,"threshold_uncertainty_score":0.9994857,"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."}}