{"id":"W7047328648","doi":"","title":"Gormley - Belton Johnson - Friday, September 23, 2022","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Superconducting and THz Device Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Range (aeronautics); Work (physics); Scope (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":["insufficient_payload"],"category_scores_codex":[0.0004110427,0.0008860371,0.0005528387,0.0007392062,0.003585757,0.003523258,0.0005898597,0.001643177,0.8208555],"category_scores_gemma":[0.0009637824,0.0005696399,0.0004416574,0.0005981671,0.0003872946,0.001529712,0.001762559,0.001969865,0.691226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001500112,"about_ca_system_score_gemma":0.00218667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03054236,"about_ca_topic_score_gemma":0.1785781,"domain_scores_codex":[0.9997043,0.00001528862,0.000006364856,0.00004878534,0.0001359644,0.00008932271],"domain_scores_gemma":[0.9994311,0.00003278503,0.00001675652,0.00004122896,0.000188164,0.0002899231],"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":[0.0000258696,0.00002142459,0.00008181788,0.00001400011,9.08781e-7,0.00002756019,0.00001156498,0.00001295382,0.0001458183,0.0002925055,0.9882553,0.01111047],"study_design_scores_gemma":[0.000006437253,0.0000139337,0.000623734,0.0000196116,0.000001169912,0.00001457246,0.00005713327,0.00002330439,0.00008833595,0.00009861619,0.9990492,0.000003855431],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008601059,0.0005734853,0.0002502812,0.002293375,0.002220146,0.00009200283,0.002617216,0.001437793,0.9896555],"genre_scores_gemma":[0.0003277629,0.00007428506,0.00003853027,0.000199935,0.00003099797,0.000005552824,0.0002153098,0.0000941861,0.9990135],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1791445,"threshold_uncertainty_score":0.2555278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005691090419556359,"score_gpt":0.1920443224917801,"score_spread":0.1863532320722237,"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."}}