{"id":"W4214603247","doi":"10.21083/partnership.v16i2.6651","title":"Pay (No) Attention to the Man Behind the Curtain: The Effects of Revealing Institutional Affiliation in a Consortial Chat Service","year":2022,"lang":"en","type":"article","venue":"Partnership The Canadian Journal of Library and Information Practice and Research","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Council of University Libraries; University of Toronto","funders":"University of Toronto","keywords":"Chat room; Staffing; Service (business); Context (archaeology); World Wide Web; Psychology; Institution; Public relations; Computer science; Internet privacy; Sociology; The Internet; Business; Political science; Marketing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.00885278,0.0004188504,0.0004739437,0.0006542772,0.00641738,0.004635013,0.001103668,0.002116687,0.005757773],"category_scores_gemma":[0.08163735,0.0005331948,0.0005529908,0.0006261345,0.004340698,0.002394672,0.003535651,0.002160792,0.0005634621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004137765,"about_ca_system_score_gemma":0.003613855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02763647,"about_ca_topic_score_gemma":0.04343587,"domain_scores_codex":[0.9843264,0.01093228,0.000659348,0.0006473457,0.002064772,0.001369868],"domain_scores_gemma":[0.8929437,0.07565466,0.01593715,0.00355035,0.004939617,0.006974522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.003060042,0.002069831,0.2965416,0.0006938771,0.0002215702,0.002528994,0.6208532,0.0003723902,0.01159666,0.002112625,0.002660176,0.05728891],"study_design_scores_gemma":[0.0001232865,0.001729622,0.3351139,0.0002229827,0.0001988375,0.0004735763,0.6511408,0.0009626094,0.001084791,0.000615092,0.008226873,0.0001076224],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939039,0.00009555143,0.000396919,0.0004511772,0.00004124635,0.0000410414,0.000009242347,0.00002105382,0.005039779],"genre_scores_gemma":[0.9980026,0.00007600102,0.0004633911,0.0003660225,0.00001964696,0.00004563931,0.00001253056,0.00001496673,0.0009991953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.995365,"threshold_uncertainty_score":0.05495119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04626001499341283,"score_gpt":0.3431856312986685,"score_spread":0.2969256163052557,"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."}}