{"id":"W1998945275","doi":"10.1088/0004-6256/148/1/10","title":"A STAR-FORMING SHOCK FRONT IN RADIO GALAXY 4C+41.17 RESOLVED WITH LASER-ASSISTED ADAPTIVE OPTICS SPECTROSCOPY","year":2014,"lang":"en","type":"preprint","venue":"The Astronomical Journal","topic":"Adaptive optics and wavefront sensing","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Physics; Astrophysics; Redshift; Galaxy; Laser guide star; Spectroscopy; Astronomy; Emission spectrum; Star formation; Adaptive optics; Spectral resolution; Telescope; First light; Spectral line; Optics","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0007883492,0.0007400694,0.001063552,0.0001818702,0.0003977178,0.0004571602,0.0007924077,0.0001871428,0.0001817514],"category_scores_gemma":[0.00001145612,0.0005229022,0.0004126001,0.00007817161,0.0002880674,0.0001604228,0.0006149433,0.003552499,0.00003636111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005851355,"about_ca_system_score_gemma":0.000574119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002129538,"about_ca_topic_score_gemma":0.00007414856,"domain_scores_codex":[0.9966319,0.0003029661,0.0009626354,0.0006450536,0.000429174,0.00102823],"domain_scores_gemma":[0.99756,0.00021908,0.0009602025,0.0007284986,0.0001608647,0.0003713034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01326048,0.002333828,0.1291421,0.0001042606,0.007536877,0.0002006911,0.006472945,0.7788959,0.005626379,0.01482982,0.007089562,0.03450721],"study_design_scores_gemma":[0.01962235,0.003692507,0.2405803,0.005253563,0.002329348,0.0002569164,0.01274774,0.649511,0.008389564,0.04688753,0.004119797,0.006609358],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7814877,0.00006783006,0.2142751,0.0004549636,0.0003764349,0.0004981515,0.00006152842,0.00002336872,0.002754945],"genre_scores_gemma":[0.9068745,0.000006103759,0.09030488,0.00002556837,0.002242794,0.00001532877,0.00005503685,0.0001011555,0.0003745682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1293848,"threshold_uncertainty_score":0.9997222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01697898484683544,"score_gpt":0.2397708597275492,"score_spread":0.2227918748807137,"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."}}