{"id":"W2951859920","doi":"10.1051/0004-6361/201935609","title":"The LOFAR Tied-Array All-Sky Survey (LOTAAS): Survey overview and initial pulsar discoveries","year":2019,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Pulsars and Gravitational Waves Research","field":"Physics and Astronomy","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Centre National de la Recherche Scientifique; Observatoire de Paris, Université de Recherche Paris Sciences et Lettres; Ministerium für Innovation, Wissenschaft und Forschung des Landes Nordrhein-Westfalen; Université d'Orléans; Max-Planck-Gesellschaft; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Bundesministerium für Bildung und Forschung; Science Foundation Ireland; Science and Technology Facilities Council; European Commission","keywords":"Pulsar; LOFAR; Millisecond pulsar; Sky; Radio telescope; Binary pulsar; Radio astronomy; X-ray pulsar","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":[0.001640467,0.0006783976,0.0004264879,0.005375491,0.0004490266,0.001002614,0.0009348664,0.0003909704,0.004888536],"category_scores_gemma":[0.001433095,0.0004570178,0.0004341883,0.003948255,0.0002304612,0.001053427,0.001396735,0.0003922795,0.003561925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009021767,"about_ca_system_score_gemma":0.0009226992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01245941,"about_ca_topic_score_gemma":0.01636549,"domain_scores_codex":[0.9994388,0.000101541,0.00005051354,0.000156902,0.0001359975,0.0001162995],"domain_scores_gemma":[0.9984567,0.0001797103,0.0002490108,0.00023625,0.0005239487,0.000354372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007994191,0.000151065,0.4918935,0.002219739,0.0004802323,0.0003858214,0.0007494377,0.002493753,0.01326964,0.002167052,0.1530038,0.3323865],"study_design_scores_gemma":[0.00007423502,0.0002102745,0.6862555,0.0003778352,0.0001387292,0.0007146663,0.0002892903,0.001306196,0.001546334,0.0006693984,0.3083453,0.00007231447],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4417571,0.04724752,0.04914282,0.001889012,0.0003254294,0.001550628,0.383435,0.008809555,0.06584296],"genre_scores_gemma":[0.3049805,0.01438917,0.06173881,0.001291567,0.0005462884,0.001268554,0.6014274,0.0008234998,0.01353419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01245941,"threshold_uncertainty_score":0.02477384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02479853774058594,"score_gpt":0.3210147296699536,"score_spread":0.2962161919293677,"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."}}