{"id":"W4388585647","doi":"10.48550/arxiv.2311.05618","title":"Follow-up strategy of ILMT discovered supernovae","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Université de Liège; Belgian Federal Science Policy Office; Fonds De La Recherche Scientifique - FNRS; Department of Science and Technology, Ministry of Science and Technology, India; York University","keywords":"Supernova; Sky; Telescope; Zenith; Physics; Astrophysics; Field of view; Light curve; Optics; Astronomy; Remote sensing; Geography","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":[0.0004022453,0.0003109797,0.0003245274,0.002015246,0.00076633,0.0005772787,0.0005626024,0.0004327878,0.003533151],"category_scores_gemma":[0.001083144,0.0001214732,0.0003663513,0.0006318167,0.0001482886,0.0003074267,0.0009728684,0.0003881779,0.001170763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005226397,"about_ca_system_score_gemma":0.0005687103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002804067,"about_ca_topic_score_gemma":0.004499636,"domain_scores_codex":[0.9997068,0.0000225508,0.00001678311,0.00007998537,0.00007398926,0.00009977359],"domain_scores_gemma":[0.9992531,0.00005599285,0.0001327126,0.0001270764,0.0001985376,0.0002325332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001650456,0.0006020849,0.5285802,0.0002638833,0.00009549303,0.008908555,0.001200509,0.001237538,0.1461131,0.001525253,0.008226614,0.3015963],"study_design_scores_gemma":[0.00007537461,0.001750352,0.7963547,0.0001157152,0.0002437893,0.009239527,0.001005845,0.006935671,0.1211902,0.001077236,0.06193608,0.00007549417],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.970214,0.001239063,0.01182462,0.0003856874,0.00008413317,0.0003735308,0.001108597,0.000579368,0.01419111],"genre_scores_gemma":[0.9700782,0.0004759203,0.01648215,0.0003027751,0.00007369865,0.000146324,0.002534135,0.00009009679,0.009816648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003533151,"threshold_uncertainty_score":0.0118196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08202960522740274,"score_gpt":0.180945954067656,"score_spread":0.09891634884025322,"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."}}