{"id":"W1972041360","doi":"10.1300/j179v04n03_06","title":"Driving Visibility, Velocity and Versatility: The Role of Mobile Technologies in Supply Chain Management","year":2005,"lang":"en","type":"article","venue":"Journal of Internet Commerce","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Visibility; Supply chain; Computer science; Supply chain management; Business; Physics; Marketing; Optics","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":[0.001236831,0.0002230354,0.0001358593,0.001887182,0.001068266,0.007125095,0.0003867403,0.0009990066,0.003832671],"category_scores_gemma":[0.009284587,0.00023518,0.0001746524,0.002007087,0.002014322,0.005744179,0.002574624,0.0007797642,0.0004459758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001290769,"about_ca_system_score_gemma":0.0009332817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003912823,"about_ca_topic_score_gemma":0.002902484,"domain_scores_codex":[0.9990973,0.0003929522,0.00004472621,0.0000922663,0.0002386016,0.0001340512],"domain_scores_gemma":[0.9917039,0.004707085,0.001703097,0.0002274748,0.001135571,0.0005227898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003297673,0.0003110346,0.3327514,0.0004303882,0.0001025635,0.001228323,0.01275618,0.01711188,0.005027577,0.2894234,0.004783619,0.3357439],"study_design_scores_gemma":[0.00008783576,0.0009604525,0.3152041,0.001655733,0.0002113454,0.001325702,0.0814321,0.09806003,0.006405903,0.3760046,0.1183734,0.0002787209],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8495097,0.004496029,0.02810019,0.006484225,0.000137034,0.00008506251,0.000121911,0.00008854756,0.1109773],"genre_scores_gemma":[0.9972165,0.0005710027,0.001302298,0.00004561176,0.00002694656,0.000006354547,0.00000981119,0.000005723438,0.0008156938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007125095,"threshold_uncertainty_score":0.01282156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008356538177334803,"score_gpt":0.2087142255354923,"score_spread":0.2003576873581575,"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."}}