{"id":"W4402700999","doi":"10.48550/arxiv.2408.12940","title":"An Analytic Model of Gravitational Collapse Induced by Radiative Cooling: Instability Scale, Infall Velocity, and Accretion Rate","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Cosmology and Gravitation Theories","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Innovation, Science and Economic Development Canada; Institut Périmètre de physique théorique; Deutsche Forschungsgemeinschaft; Government of Canada; Ministry of Colleges and Universities","keywords":"Gravitational instability; Physics; Accretion (finance); Radiative transfer; Gravitational collapse; Radiative cooling; Instability; Astrophysics; Scale (ratio); Gravitation; Mechanics; Classical mechanics; Optics; Quantum mechanics","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":[0.0003101084,0.0006328042,0.0003996213,0.0007041134,0.0004816635,0.0006331955,0.001260423,0.0006700347,0.002033191],"category_scores_gemma":[0.001089489,0.0002428656,0.0005406783,0.0003448818,0.00103804,0.001003121,0.0008176756,0.000497237,0.0003654853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591879,"about_ca_system_score_gemma":0.0007122824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008737042,"about_ca_topic_score_gemma":0.002604784,"domain_scores_codex":[0.9998935,0.00003141734,0.000003330658,0.00001353918,0.00003335612,0.0000248196],"domain_scores_gemma":[0.9997905,0.00004531472,0.00006109812,0.00002015936,0.00004879904,0.00003412304],"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":[0.00003549342,0.00003316178,0.001182433,0.00003634614,0.00001899931,0.0003179494,0.0001604312,0.5983524,0.007553285,0.3888653,0.001008593,0.002435742],"study_design_scores_gemma":[0.000007421093,0.00000943643,0.0003082693,0.000002988076,0.000003875238,0.00004552422,0.00001337794,0.9719154,0.000226216,0.0269845,0.0004760982,0.000006846026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4598595,0.001003772,0.4787184,0.001475141,0.00006907646,0.00008722852,0.0004157101,0.0005619385,0.05780914],"genre_scores_gemma":[0.9824488,0.0003408132,0.009868442,0.00008087384,0.00006578246,0.00007116633,0.00007599236,0.00007561953,0.006972576],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008737042,"threshold_uncertainty_score":0.01737237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03739675084024875,"score_gpt":0.2226337239000032,"score_spread":0.1852369730597544,"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."}}