{"id":"W3176550180","doi":"10.7202/1077802ar","title":"Loret’s Marketing Revolution","year":2021,"lang":"en","type":"article","venue":"Mémoires du livre","topic":"Historical and Literary Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Object (grammar); Sociology; Art; Art history; Advertising; Humanities; Computer science; Artificial intelligence; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002017361,0.0006425207,0.0002724926,0.001739585,0.006014761,0.009057092,0.0004724176,0.003226435,0.007285007],"category_scores_gemma":[0.005053461,0.000196043,0.0002495602,0.0008297545,0.0116245,0.004379138,0.002458564,0.004992957,0.001810282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009446993,"about_ca_system_score_gemma":0.002045067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01010615,"about_ca_topic_score_gemma":0.007639957,"domain_scores_codex":[0.9969497,0.001833992,0.00004121777,0.0003390841,0.0005326501,0.0003033282],"domain_scores_gemma":[0.9987445,0.0007208612,0.000130634,0.00009071435,0.0001714949,0.0001417967],"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":[0.0000573884,0.0000252913,0.0001927342,0.00007404166,0.000004383943,0.0003779561,0.03289371,0.0001342045,0.0002140251,0.874123,0.06984706,0.02205618],"study_design_scores_gemma":[0.000005355946,0.00002123674,0.0003026779,0.0001170092,0.000001453819,0.0001956932,0.002292135,0.00008023136,0.0001215088,0.01148783,0.9853646,0.00001036417],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04128756,0.01994544,0.001363403,0.08607111,0.002053628,0.00002045999,0.00008148753,0.0002121904,0.8489647],"genre_scores_gemma":[0.6929637,0.006490118,0.0008062522,0.01096633,0.003271732,0.00004359818,0.0000372395,0.0001879753,0.285233],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01010615,"threshold_uncertainty_score":0.06854308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01683272333049308,"score_gpt":0.2488010816582054,"score_spread":0.2319683583277123,"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."}}