{"id":"W1976326034","doi":"10.1051/0004-6361/201015178","title":"Multi-instrument measurement campaign at Paranal in 2007","year":2010,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Adaptive optics and wavefront sensing","field":"Physics and Astronomy","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Physics; Telescope; Astronomy; Very Large Telescope; Astrophysics; 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":[0.001202044,0.0005580351,0.0008090783,0.0005122979,0.0009669689,0.0004318994,0.0008649324,0.0005693275,0.001572131],"category_scores_gemma":[0.0007669415,0.0003086289,0.0004689968,0.0006946195,0.0003492889,0.0006739631,0.002091617,0.0007631202,0.0008789264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007932857,"about_ca_system_score_gemma":0.001901727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02252496,"about_ca_topic_score_gemma":0.06843627,"domain_scores_codex":[0.9987633,0.0001859363,0.00002641723,0.0003333413,0.0004842102,0.0002068002],"domain_scores_gemma":[0.9991863,0.00005095397,0.00009916458,0.0002852172,0.0002678307,0.0001103215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.005299723,0.001268433,0.3337134,0.0007187761,0.0007427072,0.001574197,0.002707638,0.01851587,0.4445946,0.004334436,0.03328655,0.1532437],"study_design_scores_gemma":[0.0003349273,0.001191434,0.8636415,0.00005432894,0.000206364,0.0005865777,0.0005896623,0.013596,0.06525383,0.000701769,0.05371025,0.0001333992],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9402664,0.0002422566,0.01739752,0.0005122121,0.00007717943,0.0003885014,0.01987224,0.001461334,0.01978237],"genre_scores_gemma":[0.9253896,0.0001381347,0.04715507,0.0003276785,0.00004285118,0.0005206033,0.01867498,0.0003846325,0.007366459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02252496,"threshold_uncertainty_score":0.0447877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01784594060298685,"score_gpt":0.2175805953922274,"score_spread":0.1997346547892406,"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."}}