{"id":"W4387603444","doi":"10.31219/osf.io/rxc2a","title":"Nền tảng thương mại điện tử quần áo tái chế của nhãn hàng thời trang Canada","year":2023,"lang":"vi","type":"preprint","venue":"","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chemistry; Stereochemistry; Medicinal chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0007354971,0.001462803,0.002149402,0.0002766039,0.001616767,0.002850515,0.001343827,0.0005329113,0.07601214],"category_scores_gemma":[0.00008286752,0.001183313,0.001083664,0.0002164865,0.000319481,0.0004012306,0.001119977,0.001048093,0.001402314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009287333,"about_ca_system_score_gemma":0.0009137623,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9768252,"about_ca_topic_score_gemma":0.9957816,"domain_scores_codex":[0.9930826,0.000339151,0.001963738,0.001764012,0.001337837,0.001512606],"domain_scores_gemma":[0.9966568,0.0002588147,0.0006866714,0.001431885,0.0005104773,0.0004553993],"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":[0.0004709184,0.0008386461,0.001357834,0.01082106,0.01433323,0.002983423,0.1283489,0.003977495,0.009133261,0.1520755,0.655769,0.01989078],"study_design_scores_gemma":[0.0008511094,0.0000926727,0.001930947,0.001138834,0.001785339,0.00001856661,0.05175904,0.001469416,0.001339639,0.001502663,0.9347954,0.003316395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6201857,0.003992141,0.00008782581,0.01451339,0.025582,0.003811958,0.006255029,0.001853066,0.3237189],"genre_scores_gemma":[0.626873,0.0009135494,0.0001151547,0.0006787325,0.004098197,0.0002293235,0.001002863,0.0002140127,0.3658752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2790264,"threshold_uncertainty_score":0.9998121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.095859709822441,"score_gpt":0.2271809353596343,"score_spread":0.1313212255371933,"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."}}