{"id":"W4385779186","doi":"10.23977/acss.2023.070608","title":"Industry iterative transformation based on big data intelligent platform","year":2023,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Big data; Computer science; Path (computing); Matching (statistics); Artificial intelligence; Data science; Marketing and artificial intelligence; Data mining; Intelligent decision support system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004086887,0.0001234864,0.0001694663,0.0005032888,0.0001145552,0.0001816219,0.000267699,0.0001624105,0.00000645756],"category_scores_gemma":[0.00001274773,0.0001045938,0.000014622,0.0008887816,0.0000460735,0.001316711,0.0001020402,0.0003133444,0.00005304235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001184471,"about_ca_system_score_gemma":0.000008084105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000602257,"about_ca_topic_score_gemma":0.00005729577,"domain_scores_codex":[0.9991156,0.000008576698,0.0003267991,0.0002388914,0.0001380949,0.0001720074],"domain_scores_gemma":[0.9994553,0.00009810076,0.0001100531,0.0002767248,0.00005343543,0.000006327068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004036179,0.0001528894,0.0252499,0.0006909637,0.00003900551,0.00003664511,0.0003530931,0.0656817,0.00005055831,0.09992779,0.005500796,0.8022763],"study_design_scores_gemma":[0.0003594313,0.00002945273,0.0009641798,0.0003680225,0.000006447025,0.000001411389,0.0004459855,0.9128569,0.00002858164,0.001950099,0.08281586,0.0001736549],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4064599,0.001066804,0.5660383,0.007362541,0.004951496,0.00148363,0.00007725084,0.000837776,0.01172225],"genre_scores_gemma":[0.9977595,0.00005402529,0.00009004536,0.001221585,0.0005743942,0.00003240813,0.0002410022,0.000009361748,0.00001772878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8471752,"threshold_uncertainty_score":0.4265212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1023408620755945,"score_gpt":0.3029247231208601,"score_spread":0.2005838610452656,"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."}}