{"id":"W4281492628","doi":"10.5281/zenodo.6578305","title":"ERTA IJTIMOIY YETIMLIK VA UNING OQIBATLARI","year":2022,"lang":"uz","type":"paratext","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":"Ontario Clinical Oncology Group","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009551725,0.0005475829,0.000398173,0.001030761,0.002979763,0.01071291,0.0007057731,0.002607935,0.3527992],"category_scores_gemma":[0.0030131,0.0002488583,0.0002243612,0.001339315,0.001587384,0.005564346,0.003086994,0.001898703,0.1715558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003074499,"about_ca_system_score_gemma":0.001727354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004686184,"about_ca_topic_score_gemma":0.01085924,"domain_scores_codex":[0.9992461,0.0001566795,0.00003836268,0.0001155952,0.0002891949,0.0001539993],"domain_scores_gemma":[0.9985096,0.0004400574,0.00007822701,0.00017419,0.0004617845,0.0003360835],"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":[0.00008351931,0.00003197672,0.0007069077,0.0001944627,0.000003559348,0.0002005692,0.001932625,0.00008310892,0.001220691,0.06304402,0.8316326,0.100866],"study_design_scores_gemma":[0.000003750658,0.00000972062,0.0006502911,0.00004001194,0.000001374485,0.00009879694,0.0006333671,0.00009666029,0.0003446184,0.002138453,0.9959776,0.000005315018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003470807,0.001909776,0.002422212,0.01350041,0.002327999,0.0000532169,0.001106816,0.001292163,0.9739166],"genre_scores_gemma":[0.02026497,0.0007986261,0.0008130215,0.0009618908,0.0004878387,0.00004130687,0.0005304482,0.0006020305,0.9754999],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3527992,"threshold_uncertainty_score":0.9231534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06295902500730417,"score_gpt":0.3277254242967486,"score_spread":0.2647663992894445,"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."}}