{"id":"W2375883594","doi":"","title":"M-Business Value Chain Research and Benefit Allocation Based on CAS","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Context (archaeology); Value (mathematics); Chain (unit); Game theory; Mobile commerce; Mechanism (biology); Business value; Operations research; Knowledge management; Process management; World Wide Web; Microeconomics; Business","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001641192,0.0005040027,0.0006758599,0.00114039,0.0009907986,0.002040653,0.001268959,0.001076257,0.007000958],"category_scores_gemma":[0.005213123,0.0003026403,0.0007410834,0.001438328,0.002253941,0.004238739,0.00130493,0.0009329977,0.00026597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003436756,"about_ca_system_score_gemma":0.00205377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004547499,"about_ca_topic_score_gemma":0.002258309,"domain_scores_codex":[0.9987342,0.0007313688,0.00003306599,0.0001714791,0.0001906434,0.0001393238],"domain_scores_gemma":[0.9981282,0.001229174,0.0001466297,0.0001458853,0.0001917791,0.0001583269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001290593,0.00008062804,0.0008770252,0.0001168355,0.00004037849,0.0001120203,0.0001744867,0.2289651,0.001219102,0.7417753,0.0007151759,0.02579481],"study_design_scores_gemma":[0.00003346075,0.000096142,0.0003584767,0.00002687024,0.00003037083,0.00004880746,0.0001445803,0.7147749,0.0009273585,0.2804345,0.003106978,0.00001756646],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1921008,0.001181915,0.7384512,0.001113865,0.00008627936,0.0003547626,0.00008553872,0.0001307522,0.06649484],"genre_scores_gemma":[0.9547112,0.000416816,0.04079685,0.00004030344,0.0000220757,0.0001125137,0.00001903814,0.00001461241,0.003866761],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007000958,"threshold_uncertainty_score":0.02493554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03718806483164849,"score_gpt":0.2816854780765747,"score_spread":0.2444974132449262,"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."}}