{"id":"W4382364006","doi":"10.1525/aft.2023.50.2.45","title":"State Eyes in LA Skies","year":2023,"lang":"en","type":"article","venue":"Afterimage","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Political science; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002569126,0.00006171929,0.00007432655,0.00004441979,0.00003704509,0.00005439308,0.0000843771,0.00002032327,0.0007388651],"category_scores_gemma":[0.00002086157,0.00004712074,0.00002017718,0.0002536928,0.00003893182,0.0001497317,0.00000814407,0.00006228201,0.0019268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001104107,"about_ca_system_score_gemma":0.00000780862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001081695,"about_ca_topic_score_gemma":0.003944311,"domain_scores_codex":[0.9994404,0.00007565275,0.00008459129,0.0001187328,0.0000854372,0.0001952003],"domain_scores_gemma":[0.9997869,0.00008103119,0.00001183718,0.00007635383,0.000005830339,0.0000380891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001611927,0.000004449832,0.936729,0.00001470683,0.000002744467,0.000243369,0.000962096,0.0001408848,0.0003496797,0.000005706585,0.001962709,0.0595685],"study_design_scores_gemma":[0.00007677832,0.00001719882,0.9907297,0.000009806254,5.438692e-7,0.000002654658,0.0001997634,0.0003454313,0.00008655724,0.0003784827,0.008076285,0.00007682131],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9734702,0.0001115797,0.000002165568,0.0001023598,0.00009758568,0.00003484304,0.00004786087,0.0001056782,0.02602779],"genre_scores_gemma":[0.9956397,0.00007867578,0.00009341737,0.00008226411,0.00001737203,0.000001061624,0.000060312,0.00000200787,0.004025124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05949168,"threshold_uncertainty_score":0.9988503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01397931339239428,"score_gpt":0.2261805426382069,"score_spread":0.2122012292458127,"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."}}