{"id":"W1527261973","doi":"10.1007/s10660-009-9041-5","title":"Title of the special issue: “Topics in e-technology research”","year":2009,"lang":"en","type":"article","venue":"Electronic Commerce Research","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"","keywords":"Computer science; Engineering ethics; Data science; 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":[0.001976853,0.00004903598,0.0001052746,0.0003656764,0.00009643244,0.00003246315,0.001443909,0.00008409349,0.0001380586],"category_scores_gemma":[0.00009412498,0.00003660456,0.00002739535,0.001822676,0.00009434999,0.00005475571,0.0003474365,0.0009622611,0.00007463599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001755007,"about_ca_system_score_gemma":0.0002549288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006372455,"about_ca_topic_score_gemma":0.0000980396,"domain_scores_codex":[0.9983302,0.00035085,0.000145336,0.0001774793,0.0004528094,0.0005432969],"domain_scores_gemma":[0.9990485,0.0000926855,0.00002017582,0.0006865236,0.0001282293,0.00002385782],"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":[0.000001747726,0.00005141676,0.0001977131,0.000004571999,0.000002202841,0.000001889869,0.0001087665,1.24466e-7,0.0002361074,0.5492703,0.2296056,0.2205196],"study_design_scores_gemma":[0.00007048769,0.0001677089,0.001322561,0.00001966108,1.824757e-7,0.000004767344,0.00002406919,0.0002287156,0.003756645,0.08964474,0.904721,0.00003953076],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00689771,0.001436408,0.001576172,0.1356162,0.0002878807,0.0007142298,7.196618e-7,0.0001201161,0.8533505],"genre_scores_gemma":[0.989044,0.0001943198,0.0003678319,0.00006689093,0.0004658024,0.00001522141,2.713784e-7,0.00000591257,0.009839764],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9821463,"threshold_uncertainty_score":0.4180599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06435057246523224,"score_gpt":0.4050363967981234,"score_spread":0.3406858243328911,"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."}}