{"id":"W4393754192","doi":"10.1145/3613905.3650923","title":"No Risk, No Reward: Towards An Automated Measure of Psychological Safety from Online Communication","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Team Dynamics and Performance","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Interpersonal communication; Computer science; Measure (data warehouse); Psychological safety; Knowledge management; Human–computer interaction; Psychology; Data mining; Social psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009617372,0.0004342103,0.0007140403,0.0001456861,0.00008312587,0.00005374595,0.001361307,0.001250222,0.005613646],"category_scores_gemma":[0.00009188357,0.0003533494,0.0002655415,0.0001798674,0.0001703368,0.00004357685,0.001046205,0.00254049,0.001562318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009354762,"about_ca_system_score_gemma":0.00008742123,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01224401,"about_ca_topic_score_gemma":0.001143653,"domain_scores_codex":[0.996771,0.0006916756,0.0009628735,0.0009134556,0.0003455269,0.0003154196],"domain_scores_gemma":[0.9957944,0.0001170049,0.0004922501,0.003044137,0.0004176398,0.0001345828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0114816,0.02095385,0.06754997,0.001800111,0.007815684,0.0001445071,0.02546914,0.00388184,0.001704663,0.03737638,0.3110641,0.5107582],"study_design_scores_gemma":[0.001767733,0.0008464233,0.7216417,0.0007808116,0.0004527347,0.00001559367,0.000328451,0.2227573,0.00001198852,0.01263923,0.03745148,0.001306631],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7843447,0.001547824,0.0003703584,0.0005515186,0.004199229,0.0006120193,0.00650317,0.001547809,0.2003234],"genre_scores_gemma":[0.96915,0.001293654,0.0187983,0.0002648751,0.0004112736,0.00005283903,0.005704602,0.00007690034,0.004247557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6540917,"threshold_uncertainty_score":0.9998919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04680447170089993,"score_gpt":0.3938909695683405,"score_spread":0.3470864978674406,"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."}}