{"id":"W7093306598","doi":"10.1109/sbft66712.2025.00007","title":"SBFT Tool Competition 2025 – UAV Testing Track","year":2025,"lang":"en","type":"article","venue":"","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Context (archaeology); Competition (biology); Track (disk drive); Field (mathematics); Test (biology); Software; Ranking (information retrieval)","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":[0.03358159,0.002879,0.001870579,0.006059167,0.002580642,0.01187543,0.005759078,0.006090018,0.03871865],"category_scores_gemma":[0.04117807,0.0007204654,0.002546273,0.002656199,0.001513582,0.003995279,0.004622716,0.003612804,0.02347012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002878054,"about_ca_system_score_gemma":0.009205799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008226437,"about_ca_topic_score_gemma":0.0124278,"domain_scores_codex":[0.9764951,0.004335074,0.001007127,0.002058057,0.01337192,0.002732619],"domain_scores_gemma":[0.9283202,0.009616996,0.001728208,0.00459721,0.03736991,0.01836744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001038783,0.0009696972,0.002495506,0.0006355346,0.0001884317,0.0007750404,0.0003131824,0.007946475,0.009442259,0.007856661,0.8092553,0.1590832],"study_design_scores_gemma":[0.0006330486,0.002356658,0.006869637,0.0004302046,0.00008094384,0.0007478021,0.0004116406,0.03894495,0.0104622,0.008834124,0.9300414,0.0001874227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1359764,0.01266331,0.3236477,0.03526447,0.08097061,0.009368147,0.05874659,0.06778866,0.2755742],"genre_scores_gemma":[0.2760072,0.003000523,0.1628665,0.006594667,0.00719021,0.003082065,0.2153078,0.02510939,0.3008417],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03871865,"threshold_uncertainty_score":0.1775985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009404722976219046,"score_gpt":0.2016146657191089,"score_spread":0.1922099427428898,"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."}}