{"id":"W4417137594","doi":"","title":"XX. Haute Couture: Spectral stitching of JWST MIRI-IFU cubes with matrix completion","year":2025,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Astronomy and Astrophysical Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Image stitching; Data cube; Cube (algebra); James Webb Space Telescope; Spectrograph; Spectral resolution; Matrix (chemical analysis); Matching (statistics); Range (aeronautics)","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":[0.001423671,0.001068239,0.0005708168,0.0008899065,0.0007719366,0.001281069,0.001018361,0.000895791,0.003259085],"category_scores_gemma":[0.003495024,0.000527536,0.001238688,0.0008592764,0.0008747294,0.001493676,0.001691763,0.002158402,0.001942269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000679249,"about_ca_system_score_gemma":0.001279444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008036757,"about_ca_topic_score_gemma":0.01346758,"domain_scores_codex":[0.9992261,0.0001306996,0.00002978582,0.0001531151,0.0003766755,0.00008361083],"domain_scores_gemma":[0.998916,0.0002488898,0.00009755908,0.0003083593,0.0003119968,0.0001172561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007398862,0.0002380438,0.005280971,0.0002538254,0.0002456905,0.0004708096,0.0008235475,0.1930042,0.1138909,0.02467994,0.03044306,0.6299292],"study_design_scores_gemma":[0.00005396143,0.0001429099,0.002605875,0.00001717098,0.00001646486,0.0002389742,0.0001338933,0.9263487,0.04315944,0.008703106,0.01849697,0.0000825867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04170393,0.000166935,0.9492019,0.0004027717,0.0001626255,0.0001125668,0.0005815272,0.004689189,0.002978506],"genre_scores_gemma":[0.0637088,0.00005495068,0.9312503,0.0001182431,0.00004895508,0.00007193467,0.001417551,0.000652291,0.002676878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008036757,"threshold_uncertainty_score":0.01597995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009858861414155847,"score_gpt":0.2561632023622399,"score_spread":0.246304340948084,"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."}}