{"id":"W7134235694","doi":"10.5281/zenodo.18927512","title":"Building Bridges: Leadership, Technology, and Trust at LightningSoft","year":2025,"lang":"","type":"article","venue":"Open MIND","topic":"Safety Systems Engineering in Autonomy","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Automotive industry; Robotics; Software; Key (lock); Stock (firearms)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005645653,0.0006034572,0.0007841004,0.001011215,0.0002870429,0.0004966501,0.001222486,0.0006757682,0.0007144073],"category_scores_gemma":[0.000223791,0.000738919,0.00009099044,0.001371415,0.000236416,0.0003871413,0.001364167,0.0006468451,0.000510657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007575692,"about_ca_system_score_gemma":0.0001265013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000354593,"about_ca_topic_score_gemma":0.00001834047,"domain_scores_codex":[0.9971968,0.00003479057,0.000795766,0.000923833,0.0001680906,0.0008807001],"domain_scores_gemma":[0.9985557,0.0002141274,0.0001234548,0.0008840484,0.00005878332,0.0001639416],"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":[0.0001241249,0.0001491485,0.02247567,0.002678247,0.002038612,0.0002397463,0.00432628,0.04081061,0.08472326,0.01364606,0.005180268,0.823608],"study_design_scores_gemma":[0.001513153,0.00006231872,0.002058914,0.003148284,0.0002080831,0.0001318496,0.001531798,0.04771774,0.07203413,0.00009724481,0.8704605,0.001036016],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7814123,0.04031007,0.04505456,0.008519507,0.006245747,0.004045213,0.0001185872,0.0002411611,0.1140529],"genre_scores_gemma":[0.9380803,0.0001033344,0.03861485,0.00003909671,0.0001293702,0.00008338277,0.000006136404,0.0001037574,0.02283976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8652802,"threshold_uncertainty_score":0.9995062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03166100002880486,"score_gpt":0.2675150213341303,"score_spread":0.2358540213053254,"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."}}