{"id":"W2890417451","doi":"10.1093/mnras/sty2653","title":"The Ophiuchus DIsc Survey Employing ALMA (ODISEA) – I: project description and continuum images at 28 au resolution","year":2018,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Astrophysics and Star Formation Studies","field":"Physics and Astronomy","cited_by":223,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation of Sri Lanka; Comisión Nacional de Investigación Científica y Tecnológica; National Research Council Canada; Alberta Livestock and Meat Agency; National Science Council; European Research Council; Korea Astronomy and Space Science Institute; National Institutes of Natural Sciences; Agence Nationale de la Recherche; National Aeronautics and Space Administration","keywords":"Ophiuchus; Physics; Astrophysics; Isotopologue; Planet; Millimeter; Accretion (finance); Astronomy; Molecular cloud; Stars; Spectral line","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":[0.0003708242,0.0003081435,0.0001474853,0.001713748,0.0003583369,0.0005637038,0.0003802878,0.0001809529,0.003815411],"category_scores_gemma":[0.0002618403,0.0001625568,0.0001506385,0.0009907312,0.0001241235,0.0002318645,0.0006698313,0.0002052025,0.001528837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005213965,"about_ca_system_score_gemma":0.0006163556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01512507,"about_ca_topic_score_gemma":0.02139195,"domain_scores_codex":[0.9998378,0.00001581157,0.000005618095,0.00003149166,0.0000703699,0.00003903125],"domain_scores_gemma":[0.9997917,0.00001280404,0.00003100877,0.00003541107,0.00005056058,0.00007860381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007864225,0.0003924835,0.5975651,0.0005355402,0.0001555879,0.0009182148,0.001178852,0.002821247,0.09984961,0.003236519,0.07094428,0.2216162],"study_design_scores_gemma":[0.00008566063,0.0001359631,0.8847797,0.00003457044,0.00002594189,0.0005897442,0.0002656487,0.001456551,0.004412021,0.0003955675,0.1078037,0.00001490669],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7951534,0.001217847,0.008383904,0.0004908337,0.00004987905,0.001146342,0.1287282,0.001430667,0.06339889],"genre_scores_gemma":[0.7817923,0.0008490013,0.05395844,0.0003311093,0.0001505728,0.001170904,0.1450019,0.0003277519,0.01641794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01512507,"threshold_uncertainty_score":0.03007406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01809836729069169,"score_gpt":0.2383518079992208,"score_spread":0.2202534407085291,"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."}}