{"id":"W4399670956","doi":"10.1117/12.3019987","title":"Characterizing water vapour seeing for METIS HCI","year":2024,"lang":"en","type":"article","venue":"","topic":"Optical Systems and Laser Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metis; Computer science; Human–computer interaction; World Wide Web","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":[0.0001368668,0.0002570908,0.0001650837,0.000313856,0.0002216974,0.0003501317,0.0002526459,0.0002895322,0.002146497],"category_scores_gemma":[0.0006786314,0.0001110019,0.0001509498,0.0003462132,0.0001468779,0.0003865409,0.0002942266,0.0001953394,0.0002653429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004319946,"about_ca_system_score_gemma":0.0001627038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003311127,"about_ca_topic_score_gemma":0.007500667,"domain_scores_codex":[0.9998873,0.000008340196,0.000002265176,0.00001682781,0.00006366321,0.00002151936],"domain_scores_gemma":[0.9998258,0.00006714663,0.00002304496,0.0000231674,0.00004844464,0.00001260505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000439896,0.00006743176,0.02402829,0.0001260256,0.00003521886,0.0002040064,0.0003220484,0.03160782,0.8942693,0.0006194484,0.0009698063,0.04731077],"study_design_scores_gemma":[0.00003759017,0.0006642371,0.1413839,0.00002057488,0.00004468249,0.0004977013,0.0005801757,0.4793906,0.3723912,0.0009606425,0.003943041,0.00008554082],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9590695,0.0001802245,0.03570363,0.00009277162,0.00001293713,0.00005006468,0.0004617433,0.0005711021,0.003858052],"genre_scores_gemma":[0.9933431,0.00005207269,0.005842871,0.00001703559,0.000004312289,0.000009973053,0.0002464947,0.00003683773,0.0004473116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003311127,"threshold_uncertainty_score":0.007180691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007775713557441134,"score_gpt":0.2060960755709714,"score_spread":0.1983203620135302,"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."}}