{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001951409,0.0008496025,0.0007175882,0.0001638103,0.0001706107,0.00008839147,0.0006262464,0.0003795876,0.006487811],"category_scores_gemma":[0.00004361284,0.0008975788,0.0003348397,0.0002288711,0.0001986989,0.0002785677,0.0004887374,0.0006995175,0.006338899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003300023,"about_ca_system_score_gemma":0.0000130733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000438261,"about_ca_topic_score_gemma":0.0000686111,"domain_scores_codex":[0.9970539,0.00004573862,0.0007537854,0.0006826613,0.0003183844,0.001145543],"domain_scores_gemma":[0.9986118,0.00006409902,0.0001072634,0.0008505489,0.00002916802,0.0003371262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009663588,0.003066133,0.02549886,0.004793698,0.01138173,0.001835716,0.104628,0.01585524,0.1466791,0.006012294,0.3724982,0.3067846],"study_design_scores_gemma":[0.004590999,0.001852465,0.1412081,0.002903255,0.0008768458,0.0003361383,0.005728591,0.009844815,0.06875899,0.00231444,0.7544791,0.007106297],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5438502,0.02173913,0.004523382,0.0003388315,0.01246486,0.0008115756,0.0002964511,0.001778977,0.4141966],"genre_scores_gemma":[0.9866963,0.001534213,0.002138984,0.0001158864,0.0006749309,0.00004877888,0.0000319427,0.0002352315,0.008523713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4428461,"threshold_uncertainty_score":0.9993475,"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."}}