{"id":"W2897854972","doi":"10.2478/host-2018-0003","title":"The Transfer of Railway Technologies and Afro-Asian Labor Processes within the British Empire","year":2018,"lang":"en","type":"article","venue":"HoST - Journal of History of Science and Technology","topic":"Colonial History and Postcolonial Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Dictation; Empire; Process (computing); History; Technology transfer; Transfer (computing); Focus (optics); Scale (ratio); Economic geography; Sociology; Business; Computer science; Economics; Ancient history; Geography; International trade; Cartography","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":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.00183362,0.00007922286,0.0002294367,0.0001975313,0.002417946,0.00003822118,0.0007692728,0.0001199733,0.000005987495],"category_scores_gemma":[0.00173258,0.00005242168,0.00002597664,0.001015642,0.04824618,0.0002336857,0.00008680534,0.0002229995,3.97725e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001525167,"about_ca_system_score_gemma":0.001504459,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000421815,"about_ca_topic_score_gemma":0.01886196,"domain_scores_codex":[0.9988499,0.00004642956,0.0003276064,0.0001423966,0.0004142426,0.0002194603],"domain_scores_gemma":[0.9982731,0.0001420555,0.000292636,0.0001276557,0.001128106,0.00003638925],"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":[0.0005462818,0.0003400761,0.0390221,0.0002490667,0.0001757642,0.00006511811,0.3315877,3.133411e-7,0.054225,0.1157401,0.02103164,0.4370169],"study_design_scores_gemma":[0.0003145159,0.001164829,0.005202421,0.0001604427,0.00004714127,0.0001043503,0.0825865,6.272162e-7,0.004919419,0.005665729,0.8996974,0.0001366024],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9361126,0.04246611,0.000005688883,0.01746452,0.0007019197,0.0001523281,0.00000375254,0.0000325062,0.003060555],"genre_scores_gemma":[0.9964985,0.002916566,0.00008035077,0.00005013789,0.00004485367,0.000003959303,1.423226e-8,0.000003339495,0.0004022339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8786657,"threshold_uncertainty_score":0.9990413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01258767439337533,"score_gpt":0.2578704789263433,"score_spread":0.245282804532968,"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."}}