{"id":"W3035217647","doi":"10.1093/mnras/stab792","title":"Collision rates of planetesimals near mean-motion resonances","year":2021,"lang":"en","type":"dataset","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Planetesimal; Collision; Motion (physics); Physics; Proper motion; Astrophysics; Geodesy; Astronomy; Geology; Astrobiology; Planet; Computer science; Classical mechanics; Computer security; Stars","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":[0.000361604,0.0002390816,0.0003352501,0.000429879,0.0007007542,0.0005896062,0.0006060841,0.0005831881,0.001373239],"category_scores_gemma":[0.001804835,0.0002467645,0.0004903832,0.0002728504,0.0005367029,0.0005729708,0.0004962935,0.0005203563,0.0001385765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008695343,"about_ca_system_score_gemma":0.000365979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009212799,"about_ca_topic_score_gemma":0.00534071,"domain_scores_codex":[0.9998662,0.00002135707,0.000005014299,0.00002815425,0.00002545825,0.00005375781],"domain_scores_gemma":[0.999451,0.000240978,0.00009803571,0.00004234387,0.00005653401,0.0001110469],"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":[0.000332161,0.0002219411,0.09673949,0.000050364,0.0001031077,0.0007069607,0.0003728326,0.877248,0.01730551,0.00314966,0.0004864111,0.003283486],"study_design_scores_gemma":[0.00004846028,0.000150571,0.0237272,0.000008423335,0.00001755972,0.0001440104,0.0002045025,0.9712123,0.00345606,0.0006349374,0.000373954,0.00002216161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9983221,0.00003473406,0.0006354116,0.00003833912,0.000003623212,0.000005084752,0.00004038119,0.00002200054,0.0008984323],"genre_scores_gemma":[0.9995409,0.00001084686,0.0002361367,0.000006302891,9.225956e-7,0.00000288112,0.0000418064,0.000007309027,0.0001528662],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.009212799,"threshold_uncertainty_score":0.01831836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009992964743617721,"score_gpt":0.2209572186116447,"score_spread":0.2109642538680269,"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."}}