{"id":"W7115695811","doi":"10.5281/zenodo.17956832","title":"O'N IKKI BARMOQLI ICHAK YARA KASALLIGI RETSIDIVLARINI OLDINI OLISHDA SANATOR-KURORT REABILITATSIYA DASTURINING SAMARADORLIGI","year":2025,"lang":"uz","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":"Kootenay Association for Science & Technology","funders":"","keywords":"Liquation; Selection (genetic algorithm); Natural mineral","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":[0.001347238,0.000720733,0.0009222211,0.0009567637,0.001491999,0.00412473,0.0009297706,0.001513396,0.04302507],"category_scores_gemma":[0.001947345,0.0004361402,0.001061614,0.0006445454,0.001542635,0.002454513,0.003457701,0.00289977,0.01198447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001780501,"about_ca_system_score_gemma":0.002621429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005154789,"about_ca_topic_score_gemma":0.008475993,"domain_scores_codex":[0.9988709,0.0001613932,0.00007337007,0.0002003313,0.0004569782,0.0002370008],"domain_scores_gemma":[0.9986885,0.0002058941,0.0002040968,0.0001221825,0.0005378538,0.0002414823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002912726,0.001143946,0.03091217,0.004681189,0.0004223715,0.002806768,0.007975405,0.0005904068,0.1682824,0.03527242,0.05278907,0.6922112],"study_design_scores_gemma":[0.0001073435,0.001365376,0.0502877,0.001017737,0.0002611798,0.003555808,0.007916803,0.0005812458,0.046331,0.00924979,0.8791542,0.0001717686],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3349783,0.08710849,0.04054799,0.04025654,0.006136423,0.0007544873,0.002663258,0.002038368,0.4855163],"genre_scores_gemma":[0.4990063,0.03636104,0.03291196,0.008192446,0.00112601,0.0004982441,0.001984225,0.0007817451,0.419138],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04302507,"threshold_uncertainty_score":0.1439332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0437282041149274,"score_gpt":0.3332773193967347,"score_spread":0.2895491152818073,"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."}}