{"id":"W7051726147","doi":"","title":"Pipe3D, a pipeline to analyze integral field spectroscopy DATA: II. Analysis sequence and CALIFA dataproducts","year":2016,"lang":"en","type":"article","venue":"Library Open Repository (Universidad Complutense Madrid)","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Brookhaven National Laboratory; Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México; Comisión Nacional de Investigación Científica y Tecnológica; Office of Science; Max-Planck-Institut für Astronomie; Harvard University; Instituto de Astrofísica de Andalucía; Max-Planck-Gesellschaft; Ministerio de Economía y Competitividad; Vanderbilt University; Consejo Nacional de Ciencia y Tecnología; York University; Princeton University; Alfred P. Sloan Foundation; University of Washington; College of Engineering, Michigan State University; Johns Hopkins University; Carnegie Mellon University; Ohio State University; New Mexico State University; Junta de Andalucía; National Science Foundation; University of Portsmouth; Yale University; U.S. Department of Energy","keywords":"Pipeline (software); Galaxy; Set (abstract data type); Field (mathematics); Sequence (biology); Perspective (graphical); RADIUS; Data set","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":[0.002199936,0.002675303,0.001130084,0.003637063,0.001119071,0.003067114,0.002473993,0.000841068,0.03578756],"category_scores_gemma":[0.008292374,0.001988023,0.002607125,0.003273217,0.0007641063,0.002914635,0.003593533,0.002335147,0.03253918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001182391,"about_ca_system_score_gemma":0.002378116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008009789,"about_ca_topic_score_gemma":0.006352731,"domain_scores_codex":[0.9988868,0.0001045814,0.0001321473,0.0003749032,0.0003985518,0.0001029871],"domain_scores_gemma":[0.9974896,0.0006574382,0.0001782858,0.0007612684,0.0007554716,0.0001580626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001546003,0.0003016859,0.01575547,0.001707639,0.0005121172,0.001016952,0.001495633,0.01201286,0.03636369,0.008165565,0.602322,0.3188003],"study_design_scores_gemma":[0.0006329936,0.0002423045,0.02331956,0.00028433,0.0002097129,0.001075769,0.0006554294,0.1428841,0.08414159,0.02789382,0.7181298,0.0005306128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.005823611,0.0002580562,0.3284839,0.0002495358,0.0001434495,0.0006198557,0.1078915,0.5508584,0.005671703],"genre_scores_gemma":[0.04160124,0.0004755706,0.4526845,0.0003999445,0.0001277535,0.002710602,0.3927861,0.09950925,0.009705066],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03578756,"threshold_uncertainty_score":0.1197213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02219601351429938,"score_gpt":0.2716617885719566,"score_spread":0.2494657750576572,"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."}}