{"id":"W6959945772","doi":"10.11575/prism/37519","title":"Student athletes: Academic library outreach and engagement strategies","year":2020,"lang":"en","type":"other","venue":"Open MIND","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Outreach; Student engagement; Academic library; Library instruction; Work (physics); Athletes","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003939933,0.0009852687,0.0005564168,0.001873638,0.01825728,0.01474055,0.00345313,0.004135892,0.09352159],"category_scores_gemma":[0.00550642,0.0005316995,0.0006641849,0.00134496,0.002115616,0.005464439,0.02101853,0.004383822,0.03202359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002056867,"about_ca_system_score_gemma":0.008434067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004502879,"about_ca_topic_score_gemma":0.02789343,"domain_scores_codex":[0.9959503,0.001431009,0.0001001423,0.0002391754,0.0004930177,0.00178626],"domain_scores_gemma":[0.9895073,0.0004847975,0.0003817355,0.0001558699,0.0007350535,0.008735376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002959805,0.003482664,0.02627571,0.0006354696,0.00004265867,0.001453778,0.07652193,0.0001645794,0.00113488,0.007265795,0.5953025,0.287424],"study_design_scores_gemma":[0.00006664747,0.0006780624,0.01345625,0.0008262418,0.00003549379,0.0007771282,0.3756956,0.0003967411,0.0006033718,0.004864185,0.6025056,0.00009453933],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2773885,0.00209572,0.0068487,0.1005431,0.005517581,0.002033515,0.0006116968,0.002094617,0.6028665],"genre_scores_gemma":[0.5084617,0.003550752,0.01167738,0.03531222,0.002832478,0.002082492,0.0009128716,0.0007037559,0.4344664],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9852595,"threshold_uncertainty_score":0.3128609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06104021328535227,"score_gpt":0.2989655311193862,"score_spread":0.2379253178340339,"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."}}