{"id":"W7001762149","doi":"","title":"Leonardo Turriano and factory production in Portugal in the first quarter of the 17th century: his contribution to the technological‑military complex of Barcarena (Oeiras), based on documentation and the results of archaeological excavations carried out: DOI: https://doi.org/10.5281/zenodo.10402498","year":2023,"lang":"en","type":"article","venue":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","topic":"Metallurgy and Cultural Artifacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gunpowder; Portuguese; Documentation; Factory (object-oriented programming); Scope (computer science); Quarter (Canadian coin); Craft; Production (economics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008873013,0.0004272452,0.000203059,0.00116428,0.003743558,0.003713943,0.0004761957,0.001267087,0.006900128],"category_scores_gemma":[0.001175301,0.0002786671,0.0001774031,0.00100401,0.006191801,0.001139925,0.001815815,0.001025609,0.001005733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002866853,"about_ca_system_score_gemma":0.002180671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01764801,"about_ca_topic_score_gemma":0.03797187,"domain_scores_codex":[0.9993173,0.0001693314,0.00002353224,0.0001520495,0.0001745793,0.0001632191],"domain_scores_gemma":[0.999711,0.0000982414,0.00008370519,0.00002955269,0.000030098,0.00004744364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000146313,0.00008715346,0.009910678,0.001483476,0.00001745837,0.006015461,0.2031248,0.0006410662,0.001906678,0.4801445,0.05452744,0.2419949],"study_design_scores_gemma":[0.000003001199,0.00001962773,0.008677132,0.0005342261,0.000002856996,0.0009568912,0.0071204,0.00003346169,0.0002877614,0.002714447,0.9796399,0.0000101574],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1181991,0.1056109,0.002821257,0.01561271,0.001903187,0.00004092515,0.0001897937,0.000100694,0.7555215],"genre_scores_gemma":[0.815326,0.03423754,0.002064307,0.002041131,0.0008045201,0.00003559053,0.00009530916,0.0001720152,0.1452236],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01764801,"threshold_uncertainty_score":0.03509057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08689169208050056,"score_gpt":0.375308724724191,"score_spread":0.2884170326436904,"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."}}