{"id":"W3048571437","doi":"10.5430/ijhe.v9n7p310","title":"Use of Cloud Technologies in the Process of Professional and Linguistic Training of Law Students for the Development of Academic Performance","year":2020,"lang":"en","type":"article","venue":"International Journal of Higher Education","topic":"Environmental Sustainability and Technology","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cloud computing; IBM; Process (computing); Test (biology); Psychology; Control (management); Specialty; Computer science; Mathematics education; Personality; Professional development; Pedagogy; Artificial intelligence; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00178522,0.0002213807,0.0002173489,0.000566296,0.0008488674,0.001440979,0.0003348766,0.0003533419,0.002645336],"category_scores_gemma":[0.01031439,0.0000956401,0.0002195486,0.0003545776,0.0004469397,0.0006614913,0.000687741,0.0005257828,0.0004188164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005766084,"about_ca_system_score_gemma":0.001768735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008099824,"about_ca_topic_score_gemma":0.001250368,"domain_scores_codex":[0.9980989,0.0008470241,0.0000736055,0.0001582518,0.0005424263,0.0002797833],"domain_scores_gemma":[0.9918231,0.003955442,0.00125977,0.0003874809,0.0009810904,0.001592996],"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":[0.001730721,0.02508522,0.324556,0.000509148,0.00006633829,0.0008779336,0.02986713,0.001033418,0.03540124,0.002128511,0.002205846,0.5765386],"study_design_scores_gemma":[0.0001655101,0.01355345,0.9025366,0.0003593332,0.0001881691,0.0006486823,0.03074098,0.004883269,0.03200253,0.001916967,0.01292058,0.00008403615],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996963,0.00007653067,0.0004176318,0.0001484606,0.00001150411,0.00005201453,0.000007562352,0.000009841865,0.002313404],"genre_scores_gemma":[0.9980662,0.00008326781,0.001121471,0.00002856795,0.000007977977,0.0000325407,0.0000087234,0.000002421763,0.0006487634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002645336,"threshold_uncertainty_score":0.009441257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03829884118353145,"score_gpt":0.3562205669185513,"score_spread":0.3179217257350198,"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."}}