{"id":"W4380451742","doi":"10.1117/12.2663477","title":"Validation of ShipIR (v4.2)","year":2023,"lang":"en","type":"article","venue":"","topic":"Infrared Target Detection Methodologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BGC Engineering (Canada)","funders":"","keywords":"Solver; Atmospheric model; Computer science; Problem solver; Remote sensing; Thermal; Sky; Atmosphere (unit); Meteorology; Geology; Computational 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001974467,0.00003465961,0.00005490419,0.00009773277,0.000009449455,0.00000375083,0.00004158007,0.00003302426,0.0001960327],"category_scores_gemma":[0.0001061699,0.000032925,0.00002029502,0.000273723,0.000007502127,0.00005051012,0.00001002977,0.00003550309,0.0002012071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000888567,"about_ca_system_score_gemma":0.000002156418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001501899,"about_ca_topic_score_gemma":1.963446e-7,"domain_scores_codex":[0.9997241,0.00001802243,0.00008902377,0.00003897509,0.00005635829,0.00007347489],"domain_scores_gemma":[0.9997845,0.0000967814,0.000007678066,0.00008550628,0.00001622543,0.000009327327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000003292889,0.000002447681,0.0007996868,0.00008392687,0.00002546402,0.000001587529,0.0002910512,0.2205023,0.7572581,0.001750075,0.009094288,0.01018786],"study_design_scores_gemma":[0.0000377074,0.000006613942,0.002410219,0.000001848795,0.000001619574,4.944812e-7,0.00009199233,0.007801196,0.9866136,0.002210377,0.0007837779,0.00004050812],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9377978,0.00001017303,0.02976271,0.00002288898,0.0005191909,0.00004393444,0.000001990636,0.001600136,0.03024122],"genre_scores_gemma":[0.9480006,0.00001893666,0.05084634,0.000008171515,0.00004005165,0.000008362049,0.000005734173,0.00001410178,0.00105777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2293556,"threshold_uncertainty_score":0.2586178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05646828292270497,"score_gpt":0.2804566178393263,"score_spread":0.2239883349166214,"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."}}