{"id":"W7165689043","doi":"10.52357/armax15445","title":"Inventors &amp; Armies: The Difficult Relationship Between Professor Friedrich Hebler and the Swiss Army in the Last Quarter of the Nineteenth Century","year":2025,"lang":"","type":"article","venue":"Armax The Journal of Contemporary Arms","topic":"Military History and Strategy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reputation; Quarter (Canadian coin); Newspaper; Rifle; Journalism","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":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.01337439,0.0003963511,0.0007005915,0.0001490259,0.002215383,0.0001245396,0.002601771,0.0002151366,0.00006197262],"category_scores_gemma":[0.00100665,0.0001414103,0.0004116022,0.001633315,0.003571291,0.0006355074,0.0001961929,0.002255286,0.000006443273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001041007,"about_ca_system_score_gemma":0.0009378666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007979466,"about_ca_topic_score_gemma":0.001777377,"domain_scores_codex":[0.9856105,0.01058717,0.001903539,0.0002556243,0.001173402,0.0004697867],"domain_scores_gemma":[0.9889847,0.008045496,0.001716906,0.0008189116,0.000324656,0.0001092994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001621049,0.0003783197,0.4053212,0.0001357659,0.0005915033,0.000007136616,0.4907326,0.0001965397,0.0000360052,0.04386174,0.05682072,0.0002973372],"study_design_scores_gemma":[0.003918825,0.0003169427,0.4760959,0.0007541723,0.0006576061,0.00002179788,0.3228365,0.00003897067,0.00002088802,0.03910256,0.155895,0.0003408045],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8525742,0.02247113,0.00002825822,0.1078975,0.0016072,0.001574785,0.00002445526,0.000006919409,0.01381549],"genre_scores_gemma":[0.9950897,0.001193942,0.000004781398,0.001574627,0.0004751042,0.00002139514,0.000002606812,0.00001429781,0.00162353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1678961,"threshold_uncertainty_score":0.9991404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04522339482960468,"score_gpt":0.2993466647086411,"score_spread":0.2541232698790364,"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."}}