{"id":"W7065737968","doi":"","title":"The Emergence and Consequences of Voice Climate","year":2018,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Openness to experience; Training (meteorology); Perception; Employee voice; Climate change; Control (management)","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":[],"consensus_categories":[],"category_scores_codex":[0.001988663,0.0001997078,0.0002395438,0.0004864107,0.001120053,0.002445831,0.0005015133,0.0009812864,0.002547137],"category_scores_gemma":[0.009299818,0.0002421303,0.0003455598,0.0002219391,0.002740673,0.001429104,0.002817919,0.001267753,0.0002456663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004697716,"about_ca_system_score_gemma":0.0005498766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004154944,"about_ca_topic_score_gemma":0.0004790086,"domain_scores_codex":[0.9973138,0.001278505,0.0001007151,0.0004160291,0.0004573153,0.0004335828],"domain_scores_gemma":[0.9940843,0.002825234,0.001122662,0.0005760244,0.0005371703,0.0008546187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001432644,0.00090485,0.4328548,0.0005396767,0.0001895806,0.003516615,0.08927412,0.003651144,0.1611934,0.06012789,0.001949083,0.2443661],"study_design_scores_gemma":[0.0001170249,0.001527621,0.7930852,0.0002997293,0.0001272165,0.003253337,0.1016489,0.007585699,0.02535884,0.05018511,0.01660453,0.0002068485],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782438,0.000305382,0.005302622,0.0007198359,0.00009407228,0.00002594605,0.00002072719,0.00004033797,0.01524713],"genre_scores_gemma":[0.9992205,0.0000542158,0.0003534618,0.00006636048,0.00002327176,0.000007513509,0.000007952106,0.000006899763,0.0002599595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002547137,"threshold_uncertainty_score":0.01051718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006224424161543955,"score_gpt":0.2263791938531977,"score_spread":0.2201547696916538,"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."}}