{"id":"W6892228664","doi":"10.5066/f7kw5fbm","title":"SPOT North American Data Buy","year":2019,"lang":"en","type":"dataset","venue":"USGS DOI Tool Production Environment","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Panchromatic film; Multispectral image; Payload (computing); Satellite; Government (linguistics); Corporation","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009683766,0.001121059,0.001037784,0.0004396272,0.0002333692,0.0001292411,0.00260525,0.0002207343,0.003877296],"category_scores_gemma":[0.0002940692,0.00114399,0.0001601358,0.0005255509,0.0007639175,0.0007154745,0.002214209,0.001332804,0.1830263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001225986,"about_ca_system_score_gemma":0.0001337335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000599451,"about_ca_topic_score_gemma":0.000224772,"domain_scores_codex":[0.9919675,0.0003413732,0.0009846273,0.003829182,0.001903765,0.0009735285],"domain_scores_gemma":[0.9852679,0.00004471869,0.001410009,0.01302299,0.00002694033,0.000227476],"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":[0.0001174734,0.0007402747,0.0004630611,0.000127581,0.0002791617,0.00002015018,0.00001999353,0.002803414,0.0001666316,3.198942e-7,0.9915492,0.003712771],"study_design_scores_gemma":[0.0003116043,0.0001892957,0.009429371,0.00002997508,0.0005474128,0.00005805063,0.00003825503,0.00002572574,0.00009182697,0.000001779339,0.9879831,0.001293571],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006617778,0.0002060945,0.00001364745,0.0005271992,0.002319327,0.002097155,0.9880244,0.0001621178,0.00003228868],"genre_scores_gemma":[0.0003052341,0.001990589,0.0006290188,0.0001986158,0.003076854,0.0001563866,0.9897801,0.0002842185,0.003578968],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.179149,"threshold_uncertainty_score":0.999101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03812229205978095,"score_gpt":0.2579768392395094,"score_spread":0.2198545471797285,"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."}}