{"id":"W181049524","doi":"","title":"Изучение растительности в России и США: почему формирование дисциплины пошло разными путями?","year":2012,"lang":"ru","type":"article","venue":"Историко-биологические исследования","topic":"Bryophyte Studies and Records","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Institutionalisation; Quarter (Canadian coin); Political science; Ecology; Geography; Vegetation (pathology); Social science; Ethnology; Sociology; Law; Archaeology","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","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002227377,0.00244915,0.002566241,0.0002282032,0.003330443,0.0007697484,0.002547923,0.001846193,0.01517388],"category_scores_gemma":[0.0004357028,0.001273585,0.00198242,0.002738149,0.001414263,0.001486075,0.001905215,0.002279966,0.009012857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005717331,"about_ca_system_score_gemma":0.000175754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003546342,"about_ca_topic_score_gemma":0.00196375,"domain_scores_codex":[0.9862489,0.0009109511,0.002449326,0.002441957,0.002140543,0.00580833],"domain_scores_gemma":[0.9935289,0.001027773,0.001221796,0.001172018,0.0006492455,0.002400274],"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":[0.0005942908,0.004961586,0.1077159,0.0006104116,0.001630911,0.0002191504,0.003563868,0.0000327393,0.01305693,0.008268508,0.56247,0.2968757],"study_design_scores_gemma":[0.001426676,0.001280096,0.2457315,0.0004139857,0.0005143192,0.0002081403,0.006053203,0.0001306983,0.0009323942,0.0008176457,0.7395369,0.002954497],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.715878,0.04617209,0.00005675966,0.01700885,0.05881955,0.002900481,0.001257758,0.001337629,0.1565689],"genre_scores_gemma":[0.9011008,0.006860416,0.0004378481,0.003086492,0.04117121,0.0001873658,0.0003415594,0.00008931024,0.04672496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2939213,"threshold_uncertainty_score":0.9994496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0234431095739813,"score_gpt":0.2202089616467734,"score_spread":0.1967658520727921,"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."}}