{"id":"W12031309","doi":"","title":"Колёсные дороги Сибири в 20-е гг. XX в","year":2011,"lang":"ru","type":"article","venue":"Interexpo GEO-Siberia","topic":"Engineering and Environmental Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); State (computer science); Geography; Regional science; Political science; Economy; Economic growth; Archaeology; Economics; Computer science","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":[0.0006529948,0.000327908,0.0002188209,0.001202207,0.002320733,0.001940663,0.0002331329,0.0005130596,0.05127398],"category_scores_gemma":[0.0008649997,0.0002765447,0.0002317072,0.001809771,0.000830485,0.0006607405,0.0009205847,0.001263035,0.01829157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001549295,"about_ca_system_score_gemma":0.002253484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01319382,"about_ca_topic_score_gemma":0.02413887,"domain_scores_codex":[0.9996216,0.00006136486,0.00002819841,0.00004794653,0.0001769481,0.00006382477],"domain_scores_gemma":[0.99971,0.00005556492,0.00004274664,0.000038054,0.00009951022,0.00005401977],"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":[0.0003735471,0.00009769299,0.00854841,0.0006576768,0.00003451487,0.001578227,0.004289996,0.001413435,0.01846912,0.2617629,0.06123377,0.6415406],"study_design_scores_gemma":[0.000006469412,0.00006109531,0.01290891,0.00007632386,0.00001251119,0.0004419428,0.0004652028,0.0001840341,0.003033041,0.005774701,0.9770065,0.00002928636],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1036834,0.02758116,0.02130179,0.00487097,0.006903749,0.0003145086,0.00273336,0.0007572082,0.8318539],"genre_scores_gemma":[0.3654574,0.01673694,0.01808657,0.0004251761,0.0008199259,0.0003035161,0.001668468,0.0003141838,0.5961878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05127398,"threshold_uncertainty_score":0.1715285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0197322300599572,"score_gpt":0.1837255455205009,"score_spread":0.1639933154605437,"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."}}