{"id":"W2519446426","doi":"10.33915/etd.6754","title":"Pulsar population synthesis using palfa detections and pulsar search collaboratory discoveries including a wide DNS system and a nearby MSP","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Pulsars and Gravitational Waves Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; International Max Planck Research School for Advanced Methods in Process and Systems Engineering; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Universities Space Research Association; Associated Universities; High Point University; Canadian Institute for Advanced Research; National Radio Astronomy Observatory; National Science Foundation","keywords":"Pulsar; Physics; Millisecond pulsar; Galactic plane; Astrophysics; Pulsar planet; Population; Astronomy; X-ray pulsar; Green Bank Telescope; Neutron star; Binary pulsar; Galaxy","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":[0.001167855,0.0003708494,0.0002901844,0.003092166,0.0004498976,0.001317373,0.0005405034,0.0002423151,0.004667428],"category_scores_gemma":[0.00401099,0.0002254744,0.0005574976,0.001968315,0.0002138535,0.0008386216,0.001100646,0.000331643,0.001339135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004377592,"about_ca_system_score_gemma":0.0003792622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008929587,"about_ca_topic_score_gemma":0.01249097,"domain_scores_codex":[0.9994094,0.00008579992,0.00004600227,0.0002692677,0.0001208855,0.00006860917],"domain_scores_gemma":[0.9976586,0.00065926,0.000618559,0.0003671246,0.0005504795,0.0001459004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005607588,0.00002317338,0.9699196,0.00004269573,0.00015581,0.00005266334,0.0004738404,0.002546898,0.002702663,0.0006180315,0.00131294,0.02209564],"study_design_scores_gemma":[0.00001206538,0.00009240585,0.9735501,0.00002305043,0.0001145649,0.0001757121,0.001121279,0.0146536,0.002471714,0.0006485083,0.007115749,0.00002120522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767229,0.00007077627,0.005946581,0.00005973793,0.000008901948,0.00006761387,0.0107398,0.0002377223,0.006146056],"genre_scores_gemma":[0.9678562,0.00009494581,0.009837611,0.00004259994,0.00002000078,0.000161256,0.01970372,0.00006798997,0.002215747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008929587,"threshold_uncertainty_score":0.01775521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02941277287514302,"score_gpt":0.3588340330827282,"score_spread":0.3294212602075852,"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."}}