{"id":"W7145566364","doi":"","title":"OMTI All-Sky Imager Quick-Look Data (OH emission, 720.0-910.0nm, 1s) at Eureka, Canada","year":2017,"lang":"en","type":"dataset","venue":"Institutional Repositories DataBase (IRDB)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thermosphere; Filter (signal processing); Mesosphere; Instrumentation (computer programming); Optical filter","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","open_science","insufficient_payload"],"category_scores_codex":[0.002100562,0.002823147,0.002276705,0.0006117712,0.005970678,0.00170393,0.01224073,0.001239677,0.001896373],"category_scores_gemma":[0.009973256,0.002772714,0.0004007097,0.000688393,0.002950545,0.005593003,0.01515694,0.003233264,0.006956134],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.00747652,"about_ca_system_score_gemma":0.03199176,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7665253,"about_ca_topic_score_gemma":0.7649384,"domain_scores_codex":[0.9814034,0.0006376851,0.002924438,0.00528352,0.00717195,0.002579059],"domain_scores_gemma":[0.9704516,0.0007755467,0.003244448,0.02154269,0.001753025,0.002232678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007539793,0.0004790218,0.000455876,0.0008223664,0.001211641,0.01382646,0.00001792039,0.0000409172,0.004875158,0.0002611571,0.9772116,0.00004391182],"study_design_scores_gemma":[0.001599179,0.00006142624,0.000252489,0.001747404,0.001345158,0.003116484,0.00002943974,0.00005212675,0.0026732,0.00002037104,0.9861202,0.002982472],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004708795,0.00363516,0.00003592828,0.0005858725,0.02070319,0.001526773,0.9703078,0.0004159245,0.002318477],"genre_scores_gemma":[0.0001898415,0.0005780507,0.000994755,0.001112632,0.009874017,0.0002704902,0.9797542,0.0003655876,0.0068604],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02451524,"threshold_uncertainty_score":0.9997628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04432619493156478,"score_gpt":0.319774498692307,"score_spread":0.2754483037607423,"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."}}