{"id":"W6984260182","doi":"","title":"ILODP EP 001","year":2014,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Legislation; Payment; Legislature","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008749068,0.0004172467,0.0005848856,0.00009860969,0.000101711,0.0001648319,0.0009106633,0.0004002814,0.8804948],"category_scores_gemma":[0.0003887196,0.0003840715,0.0001164562,0.000009037049,0.0003152148,2.693185e-7,0.0002226923,0.0002458685,0.1734996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004195582,"about_ca_system_score_gemma":0.00003531156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006520572,"about_ca_topic_score_gemma":0.0005581074,"domain_scores_codex":[0.9974422,0.0002200127,0.0007836019,0.0003590362,0.0007215614,0.0004735611],"domain_scores_gemma":[0.9978632,0.000137072,0.001030809,0.0006744969,0.0001355155,0.0001588941],"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":[0.00002931741,0.00003182326,0.000001689189,0.0004726602,0.000008107569,0.000005836114,0.00004668743,0.0006323793,0.00007844554,0.00008571694,0.9981887,0.0004186467],"study_design_scores_gemma":[0.0003512359,0.0001429495,0.000008039679,0.0002338385,0.00002738495,0.0000481234,0.00001303997,0.0001038582,0.0001393962,0.00001463444,0.9985048,0.0004127157],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002186572,0.00009626406,0.000004860681,0.0001312094,0.001237023,0.0003460398,0.0001374277,0.0004430709,0.9973854],"genre_scores_gemma":[0.0005120193,0.00004578247,0.00558265,0.0003988351,0.0003720443,0.00001740211,0.0001033088,0.0001553748,0.9928126],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7069951,"threshold_uncertainty_score":0.9998611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004661177687473744,"score_gpt":0.1910014006571873,"score_spread":0.1863402229697136,"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."}}