{"id":"W3045946977","doi":"","title":"Visioning an inclusive library: Engaging diverse voices in Guelph","year":2020,"lang":"en","type":"article","venue":"The Atrium (University of Guelph)","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Federation of University Women","keywords":"Conversation; Library science; Sociology; Public relations; Political science; Media studies; Computer science; Communication","routes":{"ca_aff":false,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.01067494,0.0008450236,0.0008493424,0.002807223,0.05954764,0.0225339,0.003284388,0.005965798,0.007090907],"category_scores_gemma":[0.01460512,0.0009104857,0.0004495721,0.003175272,0.0196418,0.01462497,0.03314151,0.006045353,0.0009191254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03219401,"about_ca_system_score_gemma":0.05682981,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3004459,"about_ca_topic_score_gemma":0.5289328,"domain_scores_codex":[0.9815158,0.01273421,0.0003656161,0.0009697018,0.001231046,0.003183659],"domain_scores_gemma":[0.9893525,0.003552463,0.0005825672,0.0002996325,0.0008808217,0.005332028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007821777,0.00003834088,0.001196207,0.0002093494,0.00001025267,0.002295975,0.9447517,0.0001246584,0.0005951389,0.02205984,0.0102579,0.01838244],"study_design_scores_gemma":[0.000008480302,0.00003468561,0.000717925,0.0001903393,0.000007764719,0.0003455193,0.9171148,0.00007439838,0.0003060911,0.003815539,0.07735556,0.00002888844],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6592489,0.006137651,0.01148054,0.1329944,0.0009976432,0.0009143956,0.0001989698,0.0004826538,0.1875447],"genre_scores_gemma":[0.949042,0.00247746,0.008159598,0.01040261,0.00008532131,0.0003427049,0.00006118494,0.0001718257,0.02925727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6995541,"threshold_uncertainty_score":0.5973941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03030299771110878,"score_gpt":0.2647600605353622,"score_spread":0.2344570628242534,"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."}}