{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001254417,0.0002911446,0.0002252266,0.0004788739,0.001993638,0.005061204,0.0004538325,0.0009614592,0.03548663],"category_scores_gemma":[0.001483547,0.0001873637,0.0002553711,0.0005896852,0.002724302,0.003236503,0.005686716,0.00187878,0.005440325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002534038,"about_ca_system_score_gemma":0.004013832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002462803,"about_ca_topic_score_gemma":0.007333629,"domain_scores_codex":[0.9993667,0.0001486793,0.00002068964,0.0001038309,0.0002166493,0.0001433857],"domain_scores_gemma":[0.9991868,0.0001616932,0.00006319424,0.0001244474,0.0001952004,0.0002686243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000371996,0.0002375449,0.006256848,0.0008816349,0.00002465128,0.0005601672,0.03524525,0.0003730308,0.02009407,0.5057383,0.06223782,0.3679787],"study_design_scores_gemma":[0.00003123519,0.0001627246,0.005395957,0.0002183393,0.00001758386,0.0002229297,0.01032281,0.0003557402,0.006653583,0.03560968,0.9409788,0.00003064925],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1356774,0.008180421,0.02893872,0.0348704,0.00208607,0.00019913,0.0002250164,0.0007932241,0.7890297],"genre_scores_gemma":[0.5429869,0.004295464,0.01138902,0.002436634,0.000353803,0.0001667809,0.0001972258,0.0004056778,0.4377685],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03548663,"threshold_uncertainty_score":0.1187146,"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."}}