{"id":"W2912153881","doi":"10.1002/pra2.2018.14505501082","title":"Digital liaisons: Connecting diverse voices to support an ethical and sustainable information future in digital libraries","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Association for Information Science and Technology","topic":"Web and Library Services","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of the Fraser Valley; McGill University","funders":"","keywords":"Merge (version control); Session (web analytics); Panel discussion; Theme (computing); Computer science; World Wide Web; Multimedia; Advertising","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.02347694,0.0005910863,0.0002764013,0.001590555,0.02152819,0.0214124,0.002180581,0.006425591,0.01637811],"category_scores_gemma":[0.02929783,0.0003926438,0.0005324701,0.0009516935,0.01232352,0.01970949,0.03348691,0.006378195,0.002922159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002876154,"about_ca_system_score_gemma":0.009602906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000750447,"about_ca_topic_score_gemma":0.002164676,"domain_scores_codex":[0.9805892,0.01546597,0.0003300026,0.0005409401,0.001385886,0.001688007],"domain_scores_gemma":[0.9746766,0.01135173,0.001596283,0.001864935,0.00190253,0.008608005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002033666,0.0004357242,0.004552677,0.0006587728,0.00004328773,0.003166872,0.517714,0.0005869954,0.004911186,0.1857213,0.1201268,0.1618791],"study_design_scores_gemma":[0.00003811627,0.0001621112,0.000902899,0.0005501533,0.00001884892,0.0007020202,0.4713314,0.0006970564,0.001635182,0.04915093,0.4747413,0.0000699252],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2667581,0.003662947,0.06585725,0.2818522,0.007467432,0.0006774463,0.0001333435,0.001731659,0.3718597],"genre_scores_gemma":[0.9343515,0.001186526,0.01211082,0.01142784,0.001293771,0.0003217141,0.00006318804,0.0002132826,0.03903141],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9785876,"threshold_uncertainty_score":0.1241595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005923043769958204,"score_gpt":0.2276135206491435,"score_spread":0.2216904768791853,"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."}}