{"id":"W7163162160","doi":"10.1109/icsm64417.2025.11541547","title":"Segmentation of cars covered with smoke","year":2025,"lang":"","type":"article","venue":"","topic":"Fire Detection and Safety Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ross Video (Canada); University of Ottawa","funders":"","keywords":"Segmentation; Training (meteorology); Training set; Image segmentation; Pattern recognition (psychology)","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":[0.00008744856,0.0001331006,0.0002189097,0.0001394837,0.00003789941,0.0000198612,0.00006269658,0.00008726763,0.0003465401],"category_scores_gemma":[0.00000697531,0.0001221684,0.00005506489,0.0004331585,0.00002676562,0.00008146467,0.00001159524,0.00008395973,0.00001693723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001031525,"about_ca_system_score_gemma":0.00004894007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005475227,"about_ca_topic_score_gemma":0.0001700859,"domain_scores_codex":[0.9992003,0.0000274911,0.0003515327,0.0001404024,0.0001467863,0.000133429],"domain_scores_gemma":[0.9996082,0.00003607917,0.00005071579,0.0002006947,0.00007102206,0.0000333184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001154063,0.0004159558,0.05529803,0.008935364,0.004771654,0.00002582475,0.008668203,0.5453606,0.1498883,0.03151895,0.01319804,0.180765],"study_design_scores_gemma":[0.008006056,0.0007735367,0.08536043,0.001711455,0.0004226181,0.00002456594,0.01070591,0.4107968,0.4544144,0.0001285697,0.02671309,0.0009425801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5333136,0.0007668169,0.1633829,0.0002480863,0.002861289,0.0008417561,0.00003577965,0.0002393735,0.2983103],"genre_scores_gemma":[0.9919866,0.00005730661,0.0003420294,0.00004362359,0.00001780818,0.00001072401,0.000004673308,0.00001268652,0.007524591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4586729,"threshold_uncertainty_score":0.4981882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006401832816648649,"score_gpt":0.2136664147525034,"score_spread":0.2072645819358547,"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."}}