{"id":"W4384931492","doi":"10.1177/20515707231180395","title":"Sustainable marketing: Let’s accelerate transformations!","year":2023,"lang":"de","type":"article","venue":"Recherche et Applications en Marketing (English Edition)","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Marketing; Business; Chemistry","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":[0.006114386,0.001144821,0.0008279573,0.001032204,0.002131438,0.01119961,0.0009536871,0.007694268,0.06289612],"category_scores_gemma":[0.008592697,0.0002354387,0.0008428419,0.001744737,0.004636925,0.01538882,0.003250577,0.006716659,0.02398807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003090644,"about_ca_system_score_gemma":0.00652507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005853433,"about_ca_topic_score_gemma":0.007105318,"domain_scores_codex":[0.9971665,0.0009516783,0.00009354155,0.0002336313,0.00104313,0.0005115899],"domain_scores_gemma":[0.995311,0.001283003,0.0002105327,0.000275344,0.001932485,0.0009877607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003097525,0.00008661249,0.0002122711,0.0005258548,0.00001458286,0.00004861413,0.000827489,0.0001500706,0.0006983324,0.09094761,0.7790254,0.1274322],"study_design_scores_gemma":[0.000003961397,0.00001133808,0.0002399741,0.0001903431,0.000002790821,0.00002582012,0.0007308756,0.00002604992,0.00008169139,0.01298663,0.9856938,0.000006787433],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001453409,0.08676729,0.002371016,0.7245001,0.04675937,0.00003712465,0.0002031308,0.0003342497,0.1375743],"genre_scores_gemma":[0.06484415,0.154874,0.008587034,0.3173259,0.03010916,0.0001426427,0.0005565519,0.0008136866,0.4227469],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06289612,"threshold_uncertainty_score":0.2104084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04019217507216681,"score_gpt":0.3194544958355923,"score_spread":0.2792623207634254,"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."}}