{"id":"W22808772","doi":"10.1017/s0074180900133479","title":"Round Table Summary: Instrumentation and Data Processing","year":2003,"lang":"en","type":"article","venue":"Symposium - International Astronomical Union","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"Russian Foundation for Basic Research","keywords":"Instrumentation (computer programming); Table (database); Data reduction; Noise (video); Remote sensing; Extinction (optical mineralogy); ASTRA; Dispersion (optics); Physics; Optics; Computer science; Geography; Mathematics; Statistics; Nuclear physics; Data mining; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001334514,0.0001150854,0.00008816406,0.00004068525,0.000115073,0.0001480274,0.0003139855,0.00005664082,0.0005511316],"category_scores_gemma":[0.00001871655,0.0001222971,0.00001623476,0.00005495059,0.00005954963,0.0005342224,0.0001162764,0.0001309393,0.00001908618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001423001,"about_ca_system_score_gemma":0.00006608429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005453553,"about_ca_topic_score_gemma":0.00001455217,"domain_scores_codex":[0.9991082,0.00001742018,0.0002069054,0.0003794734,0.0001309001,0.0001571189],"domain_scores_gemma":[0.9995002,0.0000307632,0.00008742348,0.0002716087,0.00003625091,0.00007376681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001646137,0.0007035507,0.1432848,0.00008904756,0.0002107787,0.000001628563,0.0002650355,0.001026748,0.744918,0.07937141,0.004125606,0.0258387],"study_design_scores_gemma":[0.003555314,0.0000757525,0.008441203,0.0001796843,0.0001347591,0.00004773747,0.001057146,0.09107056,0.2906087,0.003314923,0.600579,0.0009351866],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9085121,0.0000875914,0.01275785,0.001584957,0.0002328312,0.0001222092,0.0002151352,0.00009973728,0.07638761],"genre_scores_gemma":[0.9935927,0.00001968779,0.003353784,0.00004027857,0.0001637249,0.00002532433,0.001270153,0.00001563995,0.001518707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5964534,"threshold_uncertainty_score":0.6034504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01399775182622359,"score_gpt":0.2790583196357891,"score_spread":0.2650605678095656,"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."}}