{"id":"W4296110747","doi":"10.3847/2515-5172/ac913e","title":"9-yr Deep Sky unWISE Coadds","year":2022,"lang":"en","type":"article","venue":"Research Notes of the AAS","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Sky; Geology; Infrared; Set (abstract data type); Remote sensing; Astronomy; Meteorology; Geography; Computer science; Physics","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":[0.001565907,0.001025804,0.0008177219,0.002363665,0.001233583,0.001616262,0.0009623913,0.0007845695,0.01146048],"category_scores_gemma":[0.002960385,0.0008724274,0.001410858,0.002502023,0.0003746604,0.001470032,0.002807917,0.001435273,0.01296877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006468355,"about_ca_system_score_gemma":0.001273885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01614882,"about_ca_topic_score_gemma":0.03497986,"domain_scores_codex":[0.9989957,0.00004347406,0.00003095656,0.0003330627,0.0003163368,0.0002804803],"domain_scores_gemma":[0.99732,0.000164656,0.0002558967,0.0008966741,0.001084976,0.0002778024],"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":[0.002375802,0.0007795893,0.1820061,0.0008618084,0.002330506,0.0009227997,0.0009802994,0.02483362,0.09908958,0.006094953,0.411618,0.2681068],"study_design_scores_gemma":[0.0001367769,0.0002352784,0.4637611,0.0001417335,0.0006305985,0.0008240438,0.0003792697,0.0191604,0.05016956,0.004725351,0.4594756,0.0003602969],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.3735605,0.001644479,0.07387079,0.001352383,0.001490435,0.0002424987,0.4656504,0.03129168,0.05089685],"genre_scores_gemma":[0.2911533,0.0004863631,0.06878723,0.000807535,0.0004128797,0.0002284711,0.6174234,0.005692699,0.01500818],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01614882,"threshold_uncertainty_score":0.03833914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06803678613371963,"score_gpt":0.3404714407261127,"score_spread":0.2724346545923931,"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."}}