{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science"],"category_scores_codex":[0.002967188,0.00214366,0.002146346,0.0001326133,0.0005837997,0.000544582,0.0186009,0.0006371969,0.0006277279],"category_scores_gemma":[0.002310944,0.002180987,0.0002149342,0.001341541,0.0008008929,0.002241952,0.03239882,0.002568858,0.1798702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002552483,"about_ca_system_score_gemma":0.00513049,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8698543,"about_ca_topic_score_gemma":0.9628842,"domain_scores_codex":[0.9861031,0.0007608064,0.00124081,0.005945383,0.003570107,0.002379768],"domain_scores_gemma":[0.9515489,0.0009367279,0.00123609,0.04501458,0.000398802,0.0008649311],"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":[0.0001194127,0.0003265981,0.0001047707,0.0007018736,0.001012659,0.0001954061,0.00003689368,0.00003080662,0.0003863115,0.000003960827,0.9967231,0.0003582768],"study_design_scores_gemma":[0.0006532523,0.00001797789,0.0001656183,0.0001032925,0.0008560183,0.00001016827,0.00007759868,0.000397721,0.0002690317,0.0002242468,0.995159,0.002066129],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001767196,0.000248258,0.00003719095,0.0007328715,0.001254392,0.001537141,0.9952574,0.000544821,0.0002111605],"genre_scores_gemma":[0.00002558399,0.0003210831,0.0001728004,0.000371174,0.0008475535,0.00008808691,0.9961829,0.0003041624,0.001686716],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1792425,"threshold_uncertainty_score":0.9997323,"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."}}