{"id":"W6891655260","doi":"10.48322/1m0a-ha51","title":"THEMIS GBO All Sky Imager at Taloyoak, 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":[0.002993434,0.002261646,0.00221517,0.0001396688,0.0006083854,0.0005773808,0.01916188,0.0006831647,0.0006135824],"category_scores_gemma":[0.00225726,0.00230618,0.0002386578,0.001402097,0.0009105659,0.002366538,0.03508822,0.002733763,0.207714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002651404,"about_ca_system_score_gemma":0.004991003,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8721038,"about_ca_topic_score_gemma":0.9565433,"domain_scores_codex":[0.985499,0.0007768018,0.001254631,0.006240287,0.00368377,0.002545557],"domain_scores_gemma":[0.9511517,0.0008791339,0.001213381,0.04542326,0.0003981556,0.000934331],"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":[0.0001277677,0.0003597662,0.000107379,0.0007390741,0.001042321,0.0002670705,0.00003069019,0.00002641767,0.0005679519,0.000004057711,0.9964085,0.0003190377],"study_design_scores_gemma":[0.000683607,0.00001920304,0.0002057574,0.0001073124,0.000893792,0.0000138878,0.00007004022,0.0003080576,0.0002687091,0.0002117431,0.9950241,0.002193773],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000234026,0.0002734419,0.00002974494,0.0006247205,0.001336976,0.001564336,0.995127,0.0006000554,0.0002096568],"genre_scores_gemma":[0.00003348134,0.000315846,0.0001475104,0.0003443809,0.0009050399,0.00008901831,0.9959225,0.0003352526,0.001906954],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2071005,"threshold_uncertainty_score":0.999567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1237208842685357,"score_gpt":0.3276228731076274,"score_spread":0.2039019888390917,"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."}}