{"id":"W4232520028","doi":"10.31235/osf.io/u5wba","title":"Rise of the War Machines: Charting the Evolution of Military Technologies from the Neolithic to the Industrial Revolution","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Economic and Technological Innovation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"George Brown College","funders":"","keywords":"Industrial Revolution; Politics; History of technology; Proxy (statistics); Technological change; Emerging technologies; Economic geography; History; Population; Geography; Social evolution; Economy; Political science; Data science; Engineering; Archaeology; Sociology; Computer science; Economics; Anthropology; Demography; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00138127,0.0002325806,0.0005010204,0.0001000459,0.0002442119,0.00001430516,0.001964288,0.0006053789,0.00006096938],"category_scores_gemma":[0.002331954,0.0001104754,0.0002609162,0.0006752736,0.0004260294,0.00006618968,0.001834787,0.001369438,0.00005335996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002458779,"about_ca_system_score_gemma":0.00006033882,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01026333,"about_ca_topic_score_gemma":0.0003733281,"domain_scores_codex":[0.9978172,0.00007654474,0.001316054,0.0005091404,0.00006900461,0.0002121209],"domain_scores_gemma":[0.9970558,0.0002913655,0.001164538,0.001399903,0.00007426499,0.00001418279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006973758,0.00007393817,0.1674017,0.00004753184,0.0002651994,1.991475e-7,0.001174627,0.002372221,0.0001514568,0.799434,0.01807187,0.01093752],"study_design_scores_gemma":[0.0003232383,0.00007136598,0.08457799,0.0001202056,0.00004598941,6.314829e-7,0.004001081,0.02821228,0.0006342169,0.8703864,0.01133493,0.0002916588],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.867669,0.01237076,0.00765161,0.1066388,0.001116741,0.00156661,0.0007519453,0.0001827759,0.002051729],"genre_scores_gemma":[0.9985257,0.0003010424,0.0003209539,0.0003923812,0.0002386597,0.000110282,0.00001989812,0.00001517869,0.00007587603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1308567,"threshold_uncertainty_score":0.9963274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07489715564305759,"score_gpt":0.2254990106514979,"score_spread":0.1506018550084403,"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."}}