{"id":"W7102392454","doi":"10.5281/zenodo.17472831","title":"INSON HAYOTIDA OILANING O'RNI","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":"Université du Québec en Outaouais","funders":"","keywords":"Product (mathematics); Term (time); Identification (biology)","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":[0.001010402,0.0007180158,0.0004554956,0.0007360609,0.003941006,0.004054685,0.0005658403,0.00124014,0.1183131],"category_scores_gemma":[0.001393962,0.0003692505,0.0003503922,0.0006619759,0.001339967,0.001895369,0.00410719,0.002552558,0.05322283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002979175,"about_ca_system_score_gemma":0.003652966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006638172,"about_ca_topic_score_gemma":0.01590455,"domain_scores_codex":[0.9991438,0.0001053428,0.00002894021,0.0001746072,0.0002974517,0.0002497803],"domain_scores_gemma":[0.9990743,0.0000920313,0.0000680017,0.00009185278,0.0003634844,0.000310198],"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":[0.001012329,0.0002646255,0.01008403,0.0006862879,0.00004242458,0.001267322,0.01031978,0.0003386546,0.02705732,0.1425917,0.4183072,0.3880284],"study_design_scores_gemma":[0.000008102368,0.00005803441,0.002414614,0.00006467862,0.000006539695,0.0001738936,0.001324422,0.00008066729,0.003082642,0.002035044,0.9907356,0.00001562882],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04055589,0.00698917,0.005566251,0.02288498,0.006005969,0.0001177839,0.000812908,0.001072451,0.9159946],"genre_scores_gemma":[0.08096485,0.002189493,0.002630515,0.001442847,0.0003302337,0.0000444234,0.0003898451,0.0003856367,0.9116221],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1183131,"threshold_uncertainty_score":0.3957968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04331826178681538,"score_gpt":0.3271660493096858,"score_spread":0.2838477875228704,"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."}}