{"id":"W3212073090","doi":"","title":"EKOLOGIK TA’LIM SOHASIDA O’SIMLIKLARNI TOMCHILATIB SUG’ORISH TEXNOLOGIYASI","year":2021,"lang":"ru","type":"article","venue":"Журнал естественных наук","topic":"Education, Innovation and Language Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Population; Desert (philosophy); Simple (philosophy); Natural resource; Business; Quarter (Canadian coin); Geography; Environmental protection; Political science; Ecology; Archaeology; Sociology; Biology; Demography; Meteorology","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":[0.0003714571,0.0003941596,0.0002521644,0.0006079024,0.002234626,0.001937511,0.0002374901,0.0004609955,0.01460893],"category_scores_gemma":[0.0003314078,0.0001587753,0.0001554686,0.0007247663,0.0009082417,0.0007693201,0.000906961,0.0008923928,0.002124448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002329901,"about_ca_system_score_gemma":0.002840135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01248357,"about_ca_topic_score_gemma":0.01795953,"domain_scores_codex":[0.9998378,0.0000388289,0.00001213059,0.00002358596,0.00003415819,0.0000533844],"domain_scores_gemma":[0.9999231,0.00001524244,0.00001222882,0.000005456783,0.00003079522,0.00001309408],"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":[0.0008986581,0.0003602043,0.0768811,0.001686606,0.00009104621,0.009795066,0.03210334,0.001291383,0.0269364,0.1845353,0.08065311,0.5847678],"study_design_scores_gemma":[0.00003631251,0.0001788463,0.07516411,0.0007088296,0.00004793325,0.00685889,0.03707032,0.001004872,0.005633463,0.009470952,0.8637644,0.00006107833],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6175674,0.02864945,0.004650776,0.0154463,0.002662466,0.0001868566,0.001357838,0.0001998347,0.3292791],"genre_scores_gemma":[0.8964455,0.01019968,0.002683605,0.001062254,0.0001642252,0.00005125563,0.000663829,0.00005195566,0.08867771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01460893,"threshold_uncertainty_score":0.04887182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04047707026123566,"score_gpt":0.3701862387932108,"score_spread":0.3297091685319752,"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."}}