{"id":"W2059803386","doi":"10.1504/ijlsm.2012.046702","title":"Determinants of Indian retailers' attitude towards using mobile technology for supply chain coordination","year":2012,"lang":"en","type":"article","venue":"International Journal of Logistics Systems and Management","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Business; Supply chain; Flexibility (engineering); Supply chain management; Marketing; Task (project management); Process management; Mobile technology; Industrial organization; Service management; Mobile computing; Computer science; Telecommunications; Management; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.000817605,0.00009094807,0.0001998474,0.000607937,0.00005186617,0.00008407125,0.0001999685,0.00005609157,0.00001269683],"category_scores_gemma":[0.00005181745,0.00008305848,0.00004304794,0.00009583255,0.00004792198,0.0003421037,0.00009116221,0.00004762189,0.000002725051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001123417,"about_ca_system_score_gemma":0.00001950056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000510251,"about_ca_topic_score_gemma":0.000004543281,"domain_scores_codex":[0.9989921,0.000005499957,0.0005805394,0.00007804357,0.000204618,0.0001391432],"domain_scores_gemma":[0.9985206,0.00001564641,0.0008078116,0.00006011648,0.0005843035,0.00001150943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001475464,0.0003897494,0.5425301,0.001575124,0.0008232621,0.0000396118,0.0005232113,0.003613963,0.0003679636,0.3883379,0.00388669,0.05776487],"study_design_scores_gemma":[0.01226776,0.0003418507,0.2195752,0.002820414,0.0007586494,0.0004043307,0.01903863,0.05410933,0.001061861,0.01124573,0.6766022,0.001774106],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9445797,0.0004056539,0.04385138,0.0006339966,0.006850673,0.0008085002,0.00001465934,0.00002049184,0.002834961],"genre_scores_gemma":[0.9964253,0.00003828201,0.002578652,0.0001389073,0.000595247,0.00001899473,0.000007404347,0.000009456739,0.0001877932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6727155,"threshold_uncertainty_score":0.3387027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03121681555896481,"score_gpt":0.2934467641603453,"score_spread":0.2622299486013804,"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."}}