{"id":"W4380611144","doi":"10.1177/07673701231177803","title":"Marketing durable : accélérons les transformations !","year":2023,"lang":"fr","type":"article","venue":"Recherche et Applications en Marketing (French Edition)","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Business; Marketing; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002826348,0.001361902,0.0007534275,0.00263214,0.00163017,0.01209401,0.0006872437,0.003075787,0.08406466],"category_scores_gemma":[0.003657575,0.0004079997,0.0007212235,0.004501206,0.0040941,0.01080665,0.001471412,0.003959422,0.02443566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005282093,"about_ca_system_score_gemma":0.002738693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02957401,"about_ca_topic_score_gemma":0.02027077,"domain_scores_codex":[0.9981697,0.0006808648,0.00007588026,0.0003010553,0.0006018894,0.0001705841],"domain_scores_gemma":[0.9984264,0.0004483587,0.0001087868,0.0002020738,0.0006673899,0.0001469897],"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":[0.0001020545,0.00008625897,0.0004690636,0.0007080568,0.0000151667,0.0001313587,0.002448376,0.0004015336,0.001672892,0.3415836,0.3448924,0.3074893],"study_design_scores_gemma":[0.000003467455,0.000014126,0.0006814131,0.0001779809,0.000002941747,0.00008238009,0.000619904,0.00007012268,0.0001307654,0.006719161,0.9914901,0.000007594556],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.009509494,0.2523955,0.008991232,0.1116227,0.02226657,0.00007635243,0.00120696,0.0006423917,0.5932887],"genre_scores_gemma":[0.09752422,0.182129,0.007864015,0.008603144,0.009812542,0.0001509899,0.001148225,0.0007685047,0.6919995],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.08406466,"threshold_uncertainty_score":0.2812243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1543588495815403,"score_gpt":0.368271387770833,"score_spread":0.2139125381892927,"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."}}