{"id":"W7101566334","doi":"10.5281/zenodo.17467404","title":"MAKTABGACHA TA'LIMDA STEAM TEXNOLOGIYALARINING INTEGRATIV QO 'LLANILISHI: MANTIQIY FIKRLASH VA IJTIMOIY KO 'NIKMALARNI RIVOJLANTIRISH","year":2025,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Education, Innovation and Language Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Process (computing); Work (physics); Boiler (water heating); Measure (data warehouse)","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":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002651654,0.0005224388,0.0005730888,0.0008886224,0.01061156,0.003067146,0.002423251,0.0003774588,0.08570763],"category_scores_gemma":[0.005689151,0.0005586972,0.0001907622,0.004101109,0.001375661,0.0008098525,0.002546271,0.001262107,0.003974098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005522607,"about_ca_system_score_gemma":0.00007962061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006884632,"about_ca_topic_score_gemma":0.0001192051,"domain_scores_codex":[0.9937682,0.001829991,0.001016913,0.001234415,0.0009657979,0.001184644],"domain_scores_gemma":[0.9954358,0.0002135039,0.0005312318,0.0009481849,0.002589697,0.0002815989],"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":[0.00008284996,0.0005165208,0.0003800213,0.0002049842,0.0003570163,0.00002458802,0.04049069,0.0000161924,0.0008138068,0.0496051,0.6669297,0.2405785],"study_design_scores_gemma":[0.0006017183,0.0002331196,0.003840373,0.0002391176,0.00007429854,0.00002161293,0.09355337,0.0001068277,0.0002688222,0.0004150423,0.9001683,0.0004773982],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06372567,0.001730922,0.001647845,0.01552005,0.002419482,0.001518089,0.0003181333,0.001670095,0.9114497],"genre_scores_gemma":[0.959448,0.002044281,0.0004020092,0.001333279,0.0007643012,5.332352e-7,0.001128829,0.0009779334,0.03390082],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8957223,"threshold_uncertainty_score":0.9996865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04185917984266257,"score_gpt":0.3223749694915427,"score_spread":0.2805157896488801,"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."}}