{"id":"W3027775122","doi":"","title":"Development of an Infrared Imager","year":2017,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Infrared Target Detection Methodologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Infrared; Computer science; Remote sensing; Optics; Physics; Geology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005274724,0.0003344903,0.000445814,0.0002483565,0.0002920226,0.0002545805,0.001473087,0.0003797463,0.0001423872],"category_scores_gemma":[0.001890712,0.0003808234,0.0001428255,0.0001205737,0.0001869315,0.0002202226,0.0009391145,0.0006655165,0.00002980398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001333101,"about_ca_system_score_gemma":0.0002493495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005778474,"about_ca_topic_score_gemma":0.0001461629,"domain_scores_codex":[0.9962209,0.002039178,0.0006362711,0.0004637094,0.0003344526,0.000305503],"domain_scores_gemma":[0.9949331,0.0005668394,0.0004212111,0.002669096,0.001283756,0.0001260135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003640039,0.0005292574,0.000563846,0.001906953,0.0005934247,0.00001890084,0.05947667,0.006944565,0.3040087,0.009343705,0.00155967,0.6150179],"study_design_scores_gemma":[0.000258251,1.523839e-7,0.003140068,0.0007446778,0.00002414831,0.000004731388,0.0001322231,0.0174536,0.9616747,0.005018161,0.01107953,0.0004697254],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5238768,0.0007100158,0.3648057,0.0002345152,0.0008834159,0.0004394802,0.00006795113,0.001005045,0.107977],"genre_scores_gemma":[0.08895926,0.0001416066,0.9074112,0.000009550128,0.00002305669,0.00007907711,0.0002419283,0.00007047137,0.003063867],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.657666,"threshold_uncertainty_score":0.9998643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0327722631310758,"score_gpt":0.2620198501956497,"score_spread":0.2292475870645739,"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."}}