{"id":"W3022395411","doi":"10.18727/0722-6691/5218","title":"METIS: The Mid-infrared ELT Imager and Spectrograph","year":2021,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Adaptive optics and wavefront sensing","field":"Physics and Astronomy","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spectrograph; Metis; Integral field spectrograph; Optics; Physics; Infrared; Telescope; Astronomy; Computer science; Spectral line","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":[0.0009548485,0.000558866,0.0003580123,0.001280768,0.0009001027,0.001354256,0.001514935,0.000725352,0.01496347],"category_scores_gemma":[0.0005844978,0.0003526399,0.0002957244,0.0006605797,0.000428168,0.001824939,0.001483417,0.001232952,0.00938721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001146845,"about_ca_system_score_gemma":0.001251804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002041145,"about_ca_topic_score_gemma":0.003276841,"domain_scores_codex":[0.9993122,0.0000258999,0.00001199642,0.0001171044,0.0004487537,0.00008405009],"domain_scores_gemma":[0.9995827,0.00001717288,0.00003775842,0.00005255568,0.0001948495,0.0001149769],"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":[0.001037938,0.0003023356,0.01783569,0.0002069725,0.00007774843,0.0002966863,0.0004837543,0.001453934,0.2267342,0.05402927,0.4312032,0.2663382],"study_design_scores_gemma":[0.0001966871,0.0003099823,0.01855864,0.00007118739,0.00003387051,0.0006091255,0.0001541789,0.02509129,0.1341395,0.007301981,0.8134294,0.0001042261],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.1006308,0.001696287,0.3394997,0.00535263,0.001249405,0.001314996,0.02819029,0.110926,0.4111399],"genre_scores_gemma":[0.3497073,0.0009076348,0.4568694,0.00210557,0.0008987527,0.001070053,0.05015494,0.007541392,0.130745],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01496347,"threshold_uncertainty_score":0.05005783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02767868874799675,"score_gpt":0.1679958641772406,"score_spread":0.1403171754292439,"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."}}