{"id":"W4392828296","doi":"10.1051/0004-6361/202449970","title":"<i>Euclid</i>: Testing photometric selection of emission-line galaxy targets","year":2024,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; University of Waterloo","funders":"Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas; Staatssekretariat für Bildung, Forschung und Innovation; National Astronomical Observatory of Japan; Institut de Física d'Altes Energies; Norsk Romsenter; Agenția Spațială Română; European Space Agency; Agenzia Spaziale Italiana; Fundação para a Ciência e a Tecnologia; Magyar Tudományos Akadémia; Science and Technology Facilities Council; European Commission; Integrated Electronics Engineering Center, Binghamton University; Ministerio de Ciencia, Innovación y Universidades; National Aeronautics and Space Administration","keywords":"Physics; Galaxy; Redshift; Astrophysics; Photometric redshift; Spectrograph; Emission spectrum; Line (geometry); Photometry (optics); Astronomy; Spectral line; Stars","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005964735,0.001863218,0.0008473804,0.002532779,0.0007061455,0.001486324,0.00235263,0.001870045,0.002490671],"category_scores_gemma":[0.0180623,0.0003760574,0.001221032,0.001836523,0.001247553,0.001591607,0.002530922,0.001370696,0.002941567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006213748,"about_ca_system_score_gemma":0.0009454465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005105967,"about_ca_topic_score_gemma":0.005849464,"domain_scores_codex":[0.9949673,0.001753696,0.0004778293,0.001287115,0.001097803,0.0004162178],"domain_scores_gemma":[0.9829643,0.007122803,0.001652016,0.003986923,0.002881323,0.001392689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004738336,0.001627772,0.3778604,0.0009136366,0.001946286,0.0006192501,0.0004595368,0.1376711,0.01471115,0.008709044,0.2303997,0.2203439],"study_design_scores_gemma":[0.0007536135,0.004075989,0.2604005,0.0003180497,0.0002502565,0.001967435,0.000943261,0.5779983,0.07276878,0.01227166,0.06787012,0.0003819889],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7567027,0.001093797,0.1356762,0.001054479,0.0009126892,0.0008143702,0.0495022,0.0275056,0.02673789],"genre_scores_gemma":[0.6775708,0.0001888655,0.2375233,0.0007833806,0.0001429426,0.0006297748,0.07605786,0.00261461,0.00448847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005964735,"threshold_uncertainty_score":0.03154492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01365272747846072,"score_gpt":0.2540347163307177,"score_spread":0.240381988852257,"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."}}