{"id":"W4239134368","doi":"10.22215/timreview1098","title":"How Researchers Use Social Media to Promote their Research and Network with Industry","year":2017,"lang":"en","type":"article","venue":"Technology Innovation Management Review","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social media; Business; Knowledge management; Public relations; Sociology; Computer science; Political science; World Wide Web","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":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.04050848,0.000574594,0.0005794741,0.01021415,0.003421172,0.01892349,0.002080308,0.00460039,0.01170827],"category_scores_gemma":[0.09373941,0.0004653237,0.0006871242,0.009400828,0.006031755,0.01759423,0.008721796,0.003617581,0.00330918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003569686,"about_ca_system_score_gemma":0.009138068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00179902,"about_ca_topic_score_gemma":0.004245657,"domain_scores_codex":[0.9505744,0.0377988,0.001515539,0.001955918,0.006631289,0.001524016],"domain_scores_gemma":[0.862653,0.1044517,0.01078304,0.007404369,0.01005139,0.00465657],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00009385397,0.0001294946,0.01071221,0.005700234,0.0003602664,0.0004326623,0.03659103,0.0003013811,0.001330302,0.1441714,0.1190549,0.6811224],"study_design_scores_gemma":[0.00005967195,0.00006294739,0.00439977,0.007961415,0.0002048158,0.0004314805,0.01950842,0.0002985029,0.0008602055,0.05053873,0.9156122,0.000061837],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03380188,0.310091,0.01589794,0.3712226,0.005372141,0.0004731629,0.0004926922,0.0004893162,0.2621593],"genre_scores_gemma":[0.4857629,0.4000649,0.01789384,0.05213062,0.008247511,0.001004408,0.0007047537,0.0003399573,0.03385112],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9810765,"threshold_uncertainty_score":0.2142318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3410515730753719,"score_gpt":0.4493591218970873,"score_spread":0.1083075488217154,"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."}}