{"id":"W4213431078","doi":"10.1051/0004-6361/202141170","title":"3D magnetic-field morphology of the Perseus molecular cloud","year":2022,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Astrophysics and Star Formation Studies","field":"Physics and Astronomy","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Canadian Institute for Theoretical Astrophysics; University of Victoria; University of Calgary; University of Toronto; Herzberg Institute of Astrophysics","funders":"University of Toronto; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Japan Society for the Promotion of Science; European Commission","keywords":"Molecular cloud; Magnetic field; Physics; Sky; Field (mathematics); Galactic plane; Astrophysics; Magnetic cloud; Line-of-sight; Interplanetary magnetic field; Galaxy; Solar wind","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008975908,0.0003058891,0.0001505367,0.00074747,0.0001924105,0.0006654832,0.0003915717,0.0002750789,0.001692025],"category_scores_gemma":[0.0004096506,0.0001341983,0.0002785043,0.0003887619,0.0002823147,0.0002281984,0.0002924493,0.0002920556,0.000347634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000671883,"about_ca_system_score_gemma":0.0006319095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02073434,"about_ca_topic_score_gemma":0.01647312,"domain_scores_codex":[0.9999635,0.000003644736,0.000001400221,0.00001020184,0.00001261793,0.000008526097],"domain_scores_gemma":[0.999882,0.00001673139,0.00002632224,0.00001645428,0.00002906455,0.00002944526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003531164,0.0001326732,0.2308455,0.0002515781,0.0002772704,0.002266689,0.000801929,0.6065426,0.07813589,0.006331276,0.005457287,0.06860434],"study_design_scores_gemma":[0.0001066369,0.00005318191,0.227174,0.00007575294,0.00007915736,0.0006177874,0.0003023611,0.7512689,0.009759177,0.003226315,0.007264827,0.00007182096],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9686904,0.0005630818,0.01835443,0.0003834521,0.00005319468,0.00006421142,0.003336855,0.0009964679,0.007557903],"genre_scores_gemma":[0.9906347,0.0001808992,0.007621195,0.00003853481,0.00001720245,0.00001260227,0.001121743,0.00004649107,0.0003265761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02073434,"threshold_uncertainty_score":0.04122728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004262282270323097,"score_gpt":0.1922453150075652,"score_spread":0.1879830327372421,"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."}}