{"id":"W7043671473","doi":"","title":"Typologie et modèle émergent des « bons » actes professionnels de communication dans les organisations : le cas des cadres supérieurs","year":2019,"lang":"fr","type":"other","venue":"e-Theses (Université du Québec à Trois-Rivières)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université du Québec à Trois-Rivières","keywords":"Context (archaeology); Work (physics); Identity (music); Perspective (graphical); Government (linguistics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","insufficient_payload"],"category_scores_codex":[0.0009492342,0.001603373,0.001436172,0.001256678,0.003931353,0.0003354513,0.003434718,0.001245077,0.01489866],"category_scores_gemma":[0.001862116,0.001681786,0.0007300272,0.001476796,0.004743835,0.00150975,0.001899527,0.001635582,0.01015437],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00694425,"about_ca_system_score_gemma":0.005491231,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7786263,"about_ca_topic_score_gemma":0.9556728,"domain_scores_codex":[0.9920585,0.003022195,0.000830556,0.001432054,0.0008146834,0.001841981],"domain_scores_gemma":[0.9920229,0.002347319,0.001227099,0.002917397,0.0007609318,0.0007243694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0005286768,0.002918686,0.3393722,0.0007533715,0.002405512,0.0001789155,0.4763385,0.005064606,0.05656197,0.05118396,0.06166924,0.00302442],"study_design_scores_gemma":[0.003097231,0.0006096186,0.5284702,0.00243675,0.002033985,0.0002704913,0.3087032,0.002697668,0.005769913,0.002879728,0.1397901,0.003241144],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8745106,0.01032986,0.00554516,0.00958228,0.0003628317,0.002359021,0.001310107,0.001129944,0.09487022],"genre_scores_gemma":[0.7176743,0.002846532,0.00547218,0.00008595007,0.0001586192,0.00008494197,0.0003481578,0.001124582,0.2722048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1890981,"threshold_uncertainty_score":0.9996714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04258400027789534,"score_gpt":0.2581102641421446,"score_spread":0.2155262638642492,"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."}}