{"id":"W2758824372","doi":"10.1177/1541931213601600","title":"Nighttime Photography &amp; Videography: Techniques &amp; Tips","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advantage Forensics (Canada)","funders":"","keywords":"Videography; Visibility; Session (web analytics); Collision; Photography; Computer science; Perspective (graphical); Object (grammar); Aeronautics; Simulation; Transport engineering; Computer security; Visual arts; Engineering; Artificial intelligence; Meteorology; Geography; World Wide Web; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004440769,0.001114501,0.000400822,0.001530532,0.0009288954,0.002246949,0.001536439,0.002645687,0.02754975],"category_scores_gemma":[0.006102679,0.0004372371,0.0005710957,0.0006169586,0.0009795005,0.002610956,0.001772445,0.002663557,0.01133419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003045976,"about_ca_system_score_gemma":0.0004248603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005818568,"about_ca_topic_score_gemma":0.001513857,"domain_scores_codex":[0.9985622,0.0005839352,0.0001011067,0.000113167,0.0005468845,0.00009289194],"domain_scores_gemma":[0.9962958,0.001329569,0.0001340332,0.0005861733,0.00134872,0.000305741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001175971,0.0002654889,0.0008570845,0.00131519,0.00002557821,0.0008354906,0.002385883,0.0007509551,0.02497267,0.003871291,0.1388666,0.8257362],"study_design_scores_gemma":[0.00005136306,0.000498849,0.00749085,0.001797728,0.00003111767,0.01187606,0.004833426,0.002705378,0.0216151,0.01108602,0.9378685,0.0001455786],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02203097,0.02633967,0.7122658,0.04929353,0.008278879,0.002893065,0.0006249348,0.006351792,0.1719214],"genre_scores_gemma":[0.117469,0.05093577,0.6476877,0.009997305,0.008355754,0.001780088,0.000809606,0.002179327,0.1607854],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02754975,"threshold_uncertainty_score":0.09216309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01999939705712279,"score_gpt":0.2583112842069831,"score_spread":0.2383118871498603,"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."}}