{"id":"W3208886015","doi":"10.1111/poms.13615","title":"For Better or For Worse: Impacts of IoT Technology in e‐Commerce Channel","year":2021,"lang":"en","type":"article","venue":"Production and Operations Management","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Internet of Things; Channel (broadcasting); Payment; Business; Work (physics); Agency (philosophy); Supply chain; Investment (military); Value (mathematics); Disruptive technology; Computer science; Industrial organization; Marketing; Telecommunications; Computer security; Finance; Manufacturing engineering; Engineering","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":[0.0001437413,0.00007289487,0.0001136504,0.0002563666,0.00009422356,0.0001767621,0.00004857383,0.00002833193,0.00002235519],"category_scores_gemma":[0.00008561618,0.00006438141,0.00002458076,0.0002700691,0.00002040208,0.0007623846,0.00007233729,0.00002593752,0.000005100612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001469479,"about_ca_system_score_gemma":0.000006996635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001409977,"about_ca_topic_score_gemma":0.0005411512,"domain_scores_codex":[0.9994416,4.229044e-7,0.0001983696,0.0002032531,0.00002917662,0.0001272327],"domain_scores_gemma":[0.9997293,0.000005529901,0.0000424807,0.0001255264,0.00009225019,0.000004956289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002975811,0.0007657413,0.003574653,0.002488621,0.0001967793,0.000004162231,0.0001654239,0.008670875,0.000711098,0.8160443,0.01981527,0.1472656],"study_design_scores_gemma":[0.00739921,0.0002334755,0.01290906,0.0006277687,0.0003866351,0.0000209951,0.02183193,0.08611213,0.00756713,0.1904608,0.6708806,0.001570324],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678935,0.0000954231,0.004181406,0.0230593,0.0005706192,0.001287475,0.000006487901,0.00004548298,0.002860305],"genre_scores_gemma":[0.9911711,0.00004860835,0.004287256,0.001195412,0.0002847917,0.000258612,0.00006065206,0.00001298574,0.00268056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6510653,"threshold_uncertainty_score":0.2625398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02505449918409064,"score_gpt":0.2431936256340223,"score_spread":0.2181391264499317,"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."}}