{"id":"W2115651462","doi":"10.5267/j.msl.2013.04.002","title":"Evaluating the impression of positive and negative affectivity on the implementation of impression management tactics","year":2013,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Impression; Impression management; Impression formation; Psychology; Social psychology; Precedent; Negative affectivity; Computer science; Perception; Personality; Social perception; World Wide Web; Political science","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":[0.005046784,0.0005091536,0.0003598368,0.001534516,0.0005092827,0.001455551,0.0002676341,0.0004098547,0.001410626],"category_scores_gemma":[0.02138373,0.0001737176,0.0008055726,0.0006283512,0.0006302795,0.0005809133,0.0008390297,0.0006675434,0.0002391673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005457092,"about_ca_system_score_gemma":0.0004992128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008791893,"about_ca_topic_score_gemma":0.0019372,"domain_scores_codex":[0.9954852,0.001641156,0.000423116,0.0001269014,0.002077215,0.0002464599],"domain_scores_gemma":[0.9697035,0.01571291,0.007960079,0.00105105,0.004352132,0.00122039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009826451,0.0008526958,0.8790233,0.0005211123,0.0005971927,0.0004359657,0.01281669,0.0003425512,0.01177776,0.0006203935,0.0007088316,0.09132094],"study_design_scores_gemma":[0.00003561657,0.00109358,0.9869812,0.00006878827,0.0001918412,0.0002728991,0.007631378,0.0007069694,0.001718972,0.0003185388,0.0009272646,0.00005302816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884134,0.000300628,0.0008068451,0.00008144697,0.0000399419,0.0001045784,0.00003972953,0.00001434368,0.01019904],"genre_scores_gemma":[0.997987,0.0002518619,0.000818076,0.00005337668,0.00003963733,0.00006633827,0.00004743573,0.000003777316,0.0007325218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005046784,"threshold_uncertainty_score":0.02669024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02417081126693183,"score_gpt":0.369306112126959,"score_spread":0.3451353008600271,"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."}}