{"meta":{"query_hash":"98afc8a704a8","filters":{"venue":"Problems of the Regional Energetics"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/98afc8a704a8","api":"https://metacan.xera.ac/api/v1/cohort?venue=Problems+of+the+Regional+Energetics"},"results":[{"id":"W4388795473","doi":"10.52254/1857-0070.2023.4-60.03","title":"Segmentation of Images Used in Unmanned Aerial Vehicles Navigation Systems","year":2023,"lang":"en","type":"article","venue":"Problems of the Regional Energetics","topic":"Advanced Measurement and Detection Methods","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer vision; Artificial intelligence; Brightness; Computer science; Pixel; Object (grammar); Noise (video); Segmentation; Selection (genetic algorithm); Image segmentation; Image quality; Image (mathematics)","score_opus":0.04043948430438455,"score_gpt":0.2710742306541439,"score_spread":0.23063474634975933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388795473","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13307363,0.00061685673,0.8633557,0.000064111424,0.000028166136,0.00010486849,0.000089869514,0.00040746242,0.0022594314],"genre_scores_gemma":[0.6065673,0.0003689464,0.39047977,0.000050667535,0.000022706543,0.000076383665,0.00023824182,0.00010600433,0.0020900432],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99931824,0.00017809198,0.000025205034,0.00015863669,0.00027041015,0.000049394024],"domain_scores_gemma":[0.9991208,0.0004303802,0.00013209085,0.00011393906,0.0001754058,0.00002740244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000556708,0.0003908482,0.0003965236,0.0010012863,0.0002832853,0.00067068986,0.00042078597,0.0005476497,0.0010795147],"category_scores_gemma":[0.002032599,0.00022931029,0.00034064427,0.000719914,0.00045770928,0.0006169857,0.00039844032,0.00026021397,0.00029308852],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008147549,0.00010255993,0.008465,0.0004998438,0.00015742202,0.0004447338,0.0006434501,0.13501856,0.35265553,0.015178534,0.0010096381,0.4850099],"study_design_scores_gemma":[0.000028388056,0.0005443165,0.03827722,0.000065621854,0.000083726256,0.0006575169,0.00024966,0.70772165,0.2335255,0.010695161,0.008080334,0.00007083468],"about_ca_topic_score_codex":0.0019086048,"about_ca_topic_score_gemma":0.0018726286,"teacher_disagreement_score":0.0019086048,"about_ca_system_score_codex":0.000569429,"about_ca_system_score_gemma":0.00046272043,"threshold_uncertainty_score":0.0041315556},"labels":[],"label_agreement":null}]}