{"id":"W4411384625","doi":"10.69617/nuuz.v1i1.3.1378","title":"TIL O‘RGANISHNING AHAMIYATI VA IKKINCHI TILNI O‘RGANISHDA MUTOLAANING O‘RNI","year":2024,"lang":"tr","type":"article","venue":"ŬzMU habarlari.","topic":"Education, Innovation and Language Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Miller Group (Canada)","funders":"","keywords":"Mathematics","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":[0.00183072,0.0005409208,0.0004320516,0.0007667851,0.005752878,0.006101276,0.0007855061,0.001540775,0.05031091],"category_scores_gemma":[0.003603598,0.0002899595,0.0003807389,0.0006970891,0.003781987,0.003773812,0.00621335,0.003284032,0.012046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003519157,"about_ca_system_score_gemma":0.004731622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006624279,"about_ca_topic_score_gemma":0.01947297,"domain_scores_codex":[0.9983546,0.0004344514,0.00008236255,0.0002518511,0.0004168193,0.0004600829],"domain_scores_gemma":[0.9982496,0.0003978487,0.0001974554,0.0001635387,0.0005384299,0.0004530518],"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":[0.0005449983,0.0003155759,0.02019977,0.001074556,0.00007578525,0.002060184,0.1184784,0.0003591814,0.01714071,0.4676785,0.1262351,0.2458373],"study_design_scores_gemma":[0.00002271663,0.0001428415,0.01215999,0.000322539,0.00002839925,0.000702646,0.03914906,0.0002196747,0.004064292,0.02054663,0.9225761,0.00006516035],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1075658,0.00523791,0.007637102,0.03118573,0.002031445,0.0001038657,0.0003197968,0.0002894551,0.8456289],"genre_scores_gemma":[0.6172083,0.002920319,0.007794467,0.005555115,0.0005303926,0.000161801,0.0003453355,0.0003024466,0.3651818],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05031091,"threshold_uncertainty_score":0.1683068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02704295312932925,"score_gpt":0.3561071732546879,"score_spread":0.3290642201253586,"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."}}