{"id":"W6891558507","doi":"10.48322/ajcy-kj49","title":"THEMIS GBO All Sky Imager at Ekati, NT, Canada. ASI Thumbnails Data.","year":2023,"lang":"en","type":"dataset","venue":"Space Physics Data Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sky; Pixel; Field of view; Enclosure; Lens (geology); Image resolution; Night sky","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008413422,0.002457363,0.001635784,0.004739429,0.001707377,0.002307935,0.003461407,0.001268448,0.05356669],"category_scores_gemma":[0.002308598,0.0007099697,0.0008591867,0.01038195,0.0005619555,0.001435842,0.00154828,0.001863177,0.08641585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004616316,"about_ca_system_score_gemma":0.008135132,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5047861,"about_ca_topic_score_gemma":0.7049257,"domain_scores_codex":[0.9989882,0.00005761658,0.00005866937,0.0002485361,0.0003860155,0.0002609845],"domain_scores_gemma":[0.9976388,0.0001240447,0.0001621202,0.0004912704,0.001264179,0.0003195666],"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":[0.00002610156,0.00001133548,0.0005425327,0.0001546596,0.00001677515,0.00001393277,0.00001771449,0.0001521475,0.0001399237,0.0002020589,0.9970006,0.001722142],"study_design_scores_gemma":[0.00006119965,0.000005018392,0.005842343,0.00009449129,0.00001767492,0.00003113586,0.00008023694,0.0002738058,0.0004623398,0.0004504019,0.9926527,0.00002861872],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001126545,0.00003269695,0.00005185375,0.00002840162,0.00001555075,0.00000759817,0.9984775,0.0003232803,0.0009503693],"genre_scores_gemma":[0.0003528724,0.00002656293,0.0003454086,0.0000136755,0.00000448223,0.00002035977,0.9983904,0.0001183982,0.0007277912],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4952139,"threshold_uncertainty_score":0.9962606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.129324767685092,"score_gpt":0.3309881211878886,"score_spread":0.2016633535027967,"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."}}