{"id":"W3204771189","doi":"10.1080/15228959.2021.1931632","title":"“Lean” outreach in the time of COVID-19: using online channels to promote an online service","year":2021,"lang":"en","type":"article","venue":"Public & Access Services Quarterly","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University","funders":"","keywords":"Outreach; Coronavirus disease 2019 (COVID-19); Service (business); Point (geometry); Key (lock); Public relations; Medical education; Political science; Computer science; Business; Marketing; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.009538388,0.0005623968,0.0003080296,0.001646052,0.01012792,0.01060185,0.001341222,0.00362754,0.02663558],"category_scores_gemma":[0.02472057,0.0005288112,0.000446944,0.001446123,0.004701564,0.01107302,0.01098218,0.00541258,0.008781997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002874161,"about_ca_system_score_gemma":0.01035368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003408615,"about_ca_topic_score_gemma":0.01690603,"domain_scores_codex":[0.9949558,0.002814241,0.0001597958,0.0002210395,0.0008086074,0.001040507],"domain_scores_gemma":[0.9624102,0.01746077,0.001880434,0.001658324,0.002893269,0.01369706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003682939,0.001143318,0.007929079,0.0007444742,0.00004822856,0.00156562,0.05438295,0.0002010297,0.005246092,0.01853717,0.5575342,0.3522995],"study_design_scores_gemma":[0.00009289268,0.0006267921,0.008934292,0.0004779699,0.00002021098,0.0006647845,0.07451359,0.0003540538,0.002660605,0.009185214,0.9023652,0.0001044108],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2082177,0.002709356,0.0286714,0.409664,0.01318095,0.001750438,0.0007760555,0.006490874,0.3285393],"genre_scores_gemma":[0.5772251,0.003543644,0.04439852,0.1660181,0.005297096,0.001204919,0.0007844479,0.001792386,0.1997357],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02663558,"threshold_uncertainty_score":0.08910489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.156182573378794,"score_gpt":0.3609055440211519,"score_spread":0.204722970642358,"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."}}