{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002420198,0.0001310802,0.0001445259,0.001489213,0.0002373332,0.0006655165,0.0002705901,0.0001713721,0.001636013],"category_scores_gemma":[0.001065682,0.0001044508,0.0001900069,0.001083021,0.0003058206,0.0002134418,0.0004649202,0.0001437965,0.0003753035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005181592,"about_ca_system_score_gemma":0.0001629937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0241131,"about_ca_topic_score_gemma":0.0246755,"domain_scores_codex":[0.99979,0.00001794584,0.00001395926,0.00009365341,0.00005377088,0.00003072844],"domain_scores_gemma":[0.9984947,0.0002011171,0.0005547919,0.0002812697,0.0002585179,0.0002095756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005476067,0.000007405836,0.9952068,0.00000513802,0.00002211194,0.00002693427,0.00008446869,0.00062707,0.001246059,0.0001538718,0.0002931554,0.002272275],"study_design_scores_gemma":[0.000002171856,0.000010259,0.9978634,0.000001483779,0.000004553151,0.00004435547,0.00007520911,0.00134584,0.0002617384,0.00004433369,0.000344519,0.000002220756],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960614,0.00004614874,0.000148872,0.00001018135,0.00000117682,0.00000374494,0.002364638,0.00003361509,0.001330248],"genre_scores_gemma":[0.9950701,0.00001804668,0.0002391268,0.000003841386,0.000002052819,0.000004026518,0.00427686,0.000005472055,0.0003804466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0241131,"threshold_uncertainty_score":0.0479455,"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."}}