{"id":"W2581873803","doi":"10.1108/jsocm-04-2016-0018","title":"The career paths of social marketing doctoral graduates","year":2017,"lang":"en","type":"article","venue":"Journal of Social Marketing","topic":"Management and Marketing Education","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social marketing; Curriculum; Originality; Graduation (instrument); Government (linguistics); Marketing; Public relations; Higher education; Private sector; Sociology; Political science; Business; Pedagogy; Economic growth; Economics; Social science; Engineering; Qualitative research","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003433757,0.0001712997,0.0001939001,0.00175079,0.002231598,0.002146338,0.0004296579,0.0006599214,0.009981968],"category_scores_gemma":[0.01167176,0.0002748194,0.000264296,0.0009180021,0.0008355515,0.001448775,0.002419438,0.001277917,0.001596015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001219434,"about_ca_system_score_gemma":0.003424961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002679096,"about_ca_topic_score_gemma":0.005101205,"domain_scores_codex":[0.99898,0.0003254688,0.000056889,0.0001050969,0.0001760113,0.0003564568],"domain_scores_gemma":[0.9915064,0.001834362,0.00139458,0.000147446,0.001160867,0.003956401],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002762513,0.0006029746,0.7942546,0.0003600139,0.0000240024,0.0008664639,0.06659598,0.000158784,0.00148862,0.003957539,0.008544266,0.1228706],"study_design_scores_gemma":[0.00004130393,0.00103895,0.6872829,0.0007722123,0.00001498504,0.001950593,0.2481204,0.0003683417,0.0005959443,0.003792168,0.05597425,0.0000479283],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893318,0.001328447,0.0002139966,0.003246835,0.00005402871,0.00007368872,0.000301933,0.000006690307,0.005442443],"genre_scores_gemma":[0.9876487,0.001957958,0.0004757134,0.0007806336,0.00004132575,0.0001157953,0.0002884487,0.000006112669,0.008685275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9965662,"threshold_uncertainty_score":0.03339297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03040231914340099,"score_gpt":0.2695241745593573,"score_spread":0.2391218554159563,"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."}}