{"id":"W2150777568","doi":"10.1093/mnras/stt2237","title":"Probing the turbulent ambipolar diffusion scale in molecular clouds with spectroscopy","year":2013,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Astrophysics and Star Formation Studies","field":"Physics and Astronomy","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"","keywords":"Ambipolar diffusion; Physics; Magnetic field; Turbulence; Astrophysics; Molecular cloud; Computational physics; Diffusion; Turbulent diffusion; Plasma; Stars; Mechanics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002956119,0.0003299872,0.0001625074,0.0009247225,0.0003434866,0.0005375794,0.0002907571,0.0002823012,0.0002256363],"category_scores_gemma":[0.000901193,0.0002231103,0.0002223063,0.000610565,0.0004172779,0.0005127323,0.0007449058,0.0002492,0.0000583431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005552655,"about_ca_system_score_gemma":0.0002010379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005612873,"about_ca_topic_score_gemma":0.004924788,"domain_scores_codex":[0.9999076,0.00001304687,0.000003874142,0.00002651195,0.00002077926,0.00002816028],"domain_scores_gemma":[0.9995627,0.0001057263,0.0001821628,0.00003389967,0.00003458773,0.00008097838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004458662,0.0001517373,0.7401618,0.00005819488,0.0002194481,0.0002711363,0.0006391183,0.03274262,0.2076622,0.005436883,0.0002365154,0.0119745],"study_design_scores_gemma":[0.00007288452,0.0001435435,0.797592,0.0000282184,0.0000609597,0.0001571014,0.0002558596,0.1811526,0.01686528,0.002878635,0.0007318776,0.00006114846],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983664,0.00009391814,0.001150119,0.00002803796,0.000001877012,0.000004367751,0.00004501525,0.00001825266,0.000291893],"genre_scores_gemma":[0.999268,0.00003242969,0.0006040354,0.000007335715,0.000002936947,0.000002878202,0.00005155271,0.000002496951,0.00002823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005612873,"threshold_uncertainty_score":0.01116043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003680032924085491,"score_gpt":0.1866355793627035,"score_spread":0.182955546438618,"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."}}