{"id":"W7132391454","doi":"","title":"“淘品牌”AK服装逆袭","year":2017,"lang":"","type":"article","venue":"CEIBS Institutional Repository","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Casa","funders":"","keywords":"Process (computing); Identification (biology); Product (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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0002016702,0.000392192,0.0003473904,0.000131867,0.00477449,0.0002854215,0.001165056,0.0006401469,0.0001509595],"category_scores_gemma":[0.0002060213,0.0004337993,0.0002175234,0.00005627169,0.002405715,0.0009627609,0.0002372935,0.0008004551,0.0003816181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000269777,"about_ca_system_score_gemma":0.0004754113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001356996,"about_ca_topic_score_gemma":0.00002625935,"domain_scores_codex":[0.9980831,0.00003164377,0.0005134544,0.0005199417,0.0003461032,0.0005057419],"domain_scores_gemma":[0.9978815,0.00004726141,0.0001530175,0.00163258,0.0001155722,0.0001700343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000049219,0.0001055415,0.004074743,0.0002351748,0.0003123825,0.001329773,0.0001860101,0.006173478,0.005357423,0.9750348,0.002070994,0.005070415],"study_design_scores_gemma":[0.00342571,0.0004926888,0.4377726,0.001730992,0.0005459611,0.003988867,0.000779824,0.02557194,0.03550877,0.1807777,0.3056048,0.003800143],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1625554,0.008581665,0.001350545,0.0003286535,0.009064879,0.0001877987,0.00002840656,0.0003707101,0.8175319],"genre_scores_gemma":[0.9921528,0.0005663308,0.0007149959,0.00003427864,0.0009942708,0.00003068092,0.00001084937,0.00002545074,0.005470413],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8295974,"threshold_uncertainty_score":0.9998114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01396809832597967,"score_gpt":0.2290408715450762,"score_spread":0.2150727732190965,"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."}}