{"id":"W2500648549","doi":"10.4018/978-1-4666-8147-7.ch012","title":"Predicting Use of GoodGuide.com Consumer Product Sustainability Information Using VBN Theory and NEP Scale","year":2015,"lang":"en","type":"book-chapter","venue":"Advances in web technologies and engineering book series","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Sustainability; Scale (ratio); Product (mathematics); Marketing; Sample (material); Norm (philosophy); Advertising; Environmental economics; Business; Psychology; Geography; Economics; Mathematics; Cartography; Political science; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001029675,0.0002866428,0.0002209518,0.001060321,0.0002068883,0.0009835591,0.0003496875,0.0004221828,0.007286928],"category_scores_gemma":[0.008685563,0.0002092912,0.000439927,0.0008818692,0.0002131961,0.001045981,0.0004100243,0.0004582107,0.001489134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005680029,"about_ca_system_score_gemma":0.0003124097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005155193,"about_ca_topic_score_gemma":0.01009338,"domain_scores_codex":[0.9993663,0.0001681052,0.00004256234,0.00006723288,0.0003323345,0.00002343374],"domain_scores_gemma":[0.9932474,0.005234135,0.0006357607,0.0001527859,0.0005985633,0.0001313836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007830003,0.0006289802,0.8848087,0.0001375378,0.00007508491,0.0001047577,0.002191426,0.00350115,0.002152252,0.001443825,0.004675836,0.1002023],"study_design_scores_gemma":[0.000009925143,0.0003109557,0.9516883,0.000117136,0.00004656515,0.0001547647,0.003313272,0.03554657,0.002462341,0.0008469096,0.00546533,0.00003784832],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760416,0.0001312279,0.002481597,0.0001711388,0.00001215185,0.0001399465,0.0009142586,0.00007880605,0.02002924],"genre_scores_gemma":[0.9776214,0.0004990494,0.01000833,0.00006697495,0.000009599285,0.0002326772,0.001827067,0.00002929043,0.009705607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007286928,"threshold_uncertainty_score":0.02437723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007577310381559051,"score_gpt":0.2215414737090108,"score_spread":0.2139641633274517,"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."}}