{"id":"W2917652256","doi":"10.24868/issn.2515-818x.2018.027","title":"COSIMAR: Continuous Operational Signature Monitoring Awareness and Recommendation","year":2018,"lang":"en","type":"article","venue":"Conference Proceedings of INEC","topic":"Infrared Target Detection Methodologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adversary; Signature (topology); Computer science; Architecture; Computer security; Interface (matter); Presentation (obstetrics); Joint (building); Systems engineering; Engineering; Architectural engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001076128,0.0007855686,0.0005231799,0.001433021,0.0003046333,0.0008655718,0.001088887,0.00082464,0.003837965],"category_scores_gemma":[0.003312629,0.0002468866,0.0002645444,0.0007316396,0.000153652,0.001236747,0.0007821292,0.0007099498,0.002500984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000278393,"about_ca_system_score_gemma":0.0006154663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003613306,"about_ca_topic_score_gemma":0.005403217,"domain_scores_codex":[0.9991519,0.0001401693,0.00005817738,0.0001581246,0.0004063906,0.00008521148],"domain_scores_gemma":[0.9983564,0.0003239484,0.0001940433,0.0004374052,0.0005553169,0.0001329598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007975879,0.0005229373,0.004163843,0.0001816651,0.00006401428,0.0002453942,0.0002323572,0.008674243,0.0423763,0.002163058,0.02887574,0.9117028],"study_design_scores_gemma":[0.0002212544,0.0009478744,0.01562631,0.0001050843,0.0001357002,0.0008097508,0.0004831767,0.7754505,0.1174192,0.005608507,0.08303797,0.0001547111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08928686,0.0007398283,0.8313653,0.0006121162,0.0002170712,0.0006763965,0.001527346,0.05966264,0.01591237],"genre_scores_gemma":[0.5617071,0.00052563,0.4166799,0.0003284021,0.0001225604,0.0003494618,0.003201908,0.0006142088,0.01647088],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003837965,"threshold_uncertainty_score":0.01283932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03662389928758628,"score_gpt":0.2786091136297659,"score_spread":0.2419852143421796,"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."}}