{"id":"W4386875507","doi":"10.48550/arxiv.2309.09293","title":"Star formation in CALIFA survey perturbed galaxies.III. Stellar & ionized-gas kinematic distributions","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Leibniz-Gemeinschaft; Max-Planck-Institut für Astronomie; Max-Planck-Institut für Astrophysik; Instituto de Astrofísica de Andalucía; Conselho Nacional de Desenvolvimento Científico e Tecnológico; University of Colorado Boulder; Ministério da Ciência, Tecnologia e Inovação; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo; University of Oxford; Instituto de Astrofísica de Canarias; Carnegie Mellon University; Universidad Nacional Autónoma de México; University of Washington; Johns Hopkins University; Vanderbilt University; Yale University; New Mexico State University; University of Portsmouth; Ohio State University; Max-Planck-Gesellschaft; Carnegie Institution of Washington; York University; Smithsonian Institution","keywords":"Physics; Velocity dispersion; Galaxy; Astrophysics; Stars; Star formation; Line (geometry); Dispersion (optics); Kinematics; Stellar kinematics; Optics; Geometry; Classical mechanics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003715094,0.0003972753,0.000478371,0.0002416696,0.0002449956,0.00008967092,0.000718168,0.0004813928,0.0007973739],"category_scores_gemma":[0.0002039659,0.000482318,0.0002154053,0.0008388539,0.0001258355,0.0001826321,0.0005530358,0.00088082,0.0003980154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008308687,"about_ca_system_score_gemma":0.0001805057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004378491,"about_ca_topic_score_gemma":0.01094514,"domain_scores_codex":[0.9979549,0.0001408223,0.0004718885,0.0008179052,0.0001427248,0.0004717831],"domain_scores_gemma":[0.997668,0.000406682,0.0003258743,0.001233782,0.000187608,0.0001780533],"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":[0.00173853,0.003878708,0.3196789,0.008496319,0.001834039,0.0008054446,0.006502291,0.5295414,0.01899601,0.08389266,0.0244699,0.0001657593],"study_design_scores_gemma":[0.006962517,0.00006205745,0.138779,0.001824077,0.001122341,0.00003081372,0.002923449,0.7446222,0.0214843,0.07359277,0.00411929,0.004477141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9589751,0.00004768881,0.03732607,0.0001342483,0.0001428487,0.0003866222,0.0012469,0.0003342,0.00140629],"genre_scores_gemma":[0.9902409,0.0003108567,0.0001096265,0.0000102112,0.00006636731,0.00001744766,0.006591148,0.00004503248,0.002608459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2150808,"threshold_uncertainty_score":0.9997628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09489270689887987,"score_gpt":0.2271306980255861,"score_spread":0.1322379911267063,"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."}}