{"id":"W6893014833","doi":"10.5281/zenodo.13268484","title":"AI for Communications & Marketing","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"AI in Service Interactions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canarie","funders":"","keywords":"Presentation (obstetrics); Marketing communication; Digital marketing; Key (lock)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002238647,0.001191069,0.0009630834,0.002012329,0.00208985,0.008214183,0.001033406,0.004269645,0.471265],"category_scores_gemma":[0.01065799,0.0003563601,0.0004614725,0.002046358,0.001324237,0.00467723,0.001888497,0.004551302,0.3726844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002465958,"about_ca_system_score_gemma":0.004010032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003489066,"about_ca_topic_score_gemma":0.00422684,"domain_scores_codex":[0.9973791,0.0003291936,0.0001446026,0.0004525048,0.001468656,0.0002260897],"domain_scores_gemma":[0.9935607,0.001122222,0.0003636783,0.000597226,0.002924222,0.001431877],"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":[0.00003026243,0.00001912215,0.0001339418,0.0001415921,0.000006555153,0.00004752447,0.00006463555,0.00005414334,0.0004001738,0.01944786,0.8734657,0.1061885],"study_design_scores_gemma":[0.000005388289,0.000008891532,0.000151836,0.00004973109,0.000003423966,0.00004303038,0.00002757671,0.000101777,0.00006102264,0.003287776,0.9962554,0.000004228348],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003948167,0.01240996,0.003589686,0.04941798,0.0172934,0.000118442,0.0008010023,0.0008883851,0.9150864],"genre_scores_gemma":[0.005749283,0.00632397,0.001620459,0.004543625,0.004982394,0.00009890179,0.0004356058,0.000164134,0.9760817],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.471265,"threshold_uncertainty_score":0.7541763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05028249110225466,"score_gpt":0.3055076636098774,"score_spread":0.2552251725076227,"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."}}