{"id":"W2086328978","doi":"10.1109/chicc.2014.6896672","title":"Graph-based visual sensor deployment and optics optimization","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Frustum; Computer science; Software deployment; Visibility; Focus (optics); Graph; Computer vision; Artificial intelligence; Optics; Mathematics; Theoretical computer science; Geometry; 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":[0.0001286692,0.00008279488,0.00008109264,0.00007040895,0.00006285179,0.00009043755,0.0001446014,0.00003178206,0.000005273409],"category_scores_gemma":[0.00004485024,0.00006932236,0.00002098724,0.000180977,0.00003074186,0.0002882283,0.00007404479,0.00004396525,0.000003261579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008846558,"about_ca_system_score_gemma":0.000009807725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002728765,"about_ca_topic_score_gemma":3.414959e-7,"domain_scores_codex":[0.9993947,0.00002993621,0.0001094041,0.0002103259,0.0001259436,0.0001296922],"domain_scores_gemma":[0.9995812,0.00006373673,0.00003574283,0.0001959194,0.00006056469,0.00006284218],"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":[0.00004720039,0.0004192099,0.002376291,0.00009088395,0.00003404357,0.00002149427,0.0001511998,0.08137249,0.01029758,0.2726008,0.001352474,0.6312363],"study_design_scores_gemma":[0.0001910792,0.000192956,0.00008028507,0.000007123822,0.000002747122,0.000003018316,0.000002371359,0.9120581,0.08464614,0.001925443,0.0007723142,0.0001184688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008662396,0.00002034942,0.9972264,0.0003652414,0.00003458782,0.00009515215,1.712602e-7,0.0004252899,0.0009665873],"genre_scores_gemma":[0.1086421,0.00003252976,0.8902694,0.0008992706,0.00001887596,0.000004748871,0.000001180288,0.000006771476,0.0001251447],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8306856,"threshold_uncertainty_score":0.2826884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01074497223451956,"score_gpt":0.2720634040099615,"score_spread":0.2613184317754419,"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."}}