{"id":"W2034466692","doi":"10.1051/0004-6361/201423647","title":"On the probability distribution function of the mass surface density of molecular clouds. II.","year":2014,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Astrophysics and Star Formation Studies","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Canadian Institute for Theoretical Astrophysics","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency","keywords":"Probability density function; Molecular cloud; SPHERES; RADIUS; Physics; Overpressure; Turbulence; Mass distribution; Function (biology); Isothermal process; Surface (topology); Distribution (mathematics); Probability distribution; Distribution function; Geometry; Mechanics; Classical mechanics; Thermodynamics; Astrophysics; Stars; Mathematics; Mathematical analysis; Statistics","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":[0.004637939,0.00104468,0.001184778,0.002858341,0.0007895556,0.002753752,0.001825654,0.00182997,0.004801791],"category_scores_gemma":[0.02128364,0.0006511355,0.001189518,0.002671871,0.002667192,0.002913857,0.001179362,0.001953306,0.001960815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001498326,"about_ca_system_score_gemma":0.0006910036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005515192,"about_ca_topic_score_gemma":0.001587925,"domain_scores_codex":[0.9986215,0.0004775159,0.00004994595,0.0002675469,0.0004082209,0.0001752896],"domain_scores_gemma":[0.9864858,0.01037788,0.0009299858,0.000876892,0.001115851,0.0002135233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001508927,0.00007891006,0.01433386,0.0005027574,0.0001109925,0.0007004322,0.0003642323,0.4837959,0.003164025,0.4526816,0.007407456,0.03670902],"study_design_scores_gemma":[0.00001873412,0.00006140409,0.008185383,0.0002064911,0.00003682151,0.0007064351,0.00009953048,0.8476927,0.001299612,0.1337986,0.007808606,0.00008567064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0522541,0.01039585,0.9181248,0.001557224,0.0003385717,0.0001396401,0.001565711,0.0005959538,0.01502818],"genre_scores_gemma":[0.8461953,0.02332528,0.1043257,0.0009612421,0.003211207,0.00096629,0.004967324,0.0005142671,0.0155333],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005515192,"threshold_uncertainty_score":0.02452809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005287422791947935,"score_gpt":0.1792078038469562,"score_spread":0.1739203810550082,"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."}}