{"id":"W4386934904","doi":"10.55908/sdgs.v11i7.1310","title":"Peculiarities of Organization and Efficiency of the Educational Process Under Martial Law","year":2023,"lang":"en","type":"article","venue":"Journal of Law and Sustainable Development","topic":"Economic Issues in Ukraine","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Ukrainian; Martial law; Process (computing); Subject (documents); Object (grammar); Law; Sociology; Martial arts; Political science; Computer science; Artificial intelligence; Library science; Geography; Philosophy; Linguistics","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":[],"consensus_categories":[],"category_scores_codex":[0.0006331952,0.00005867619,0.0001970548,0.0001013677,0.0001294848,0.00002563061,0.0001084657,0.00003502671,0.0000551595],"category_scores_gemma":[0.00008388118,0.00005084036,0.0000197946,0.0001937826,0.0001337033,0.0001529573,0.00007768729,0.00005718512,0.000001560445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006941058,"about_ca_system_score_gemma":0.0001693409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003323482,"about_ca_topic_score_gemma":0.000006362976,"domain_scores_codex":[0.9991933,0.000008749531,0.0005443924,0.00008090831,0.00004345275,0.0001292159],"domain_scores_gemma":[0.9992301,0.00004750917,0.0004148689,0.00006133025,0.000218375,0.00002780497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00000689365,0.00003682654,0.007333152,0.0002053558,0.00002856152,0.000001331197,0.005560686,0.000278809,0.000007580692,0.9864498,0.00006688727,0.00002411161],"study_design_scores_gemma":[0.002621107,0.0002407913,0.1575081,0.0002327289,0.00003835448,0.0001861478,0.02278816,0.0004668067,0.01114058,0.7252389,0.07895348,0.0005847647],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842621,0.0005919351,0.0001457669,0.001018356,0.0001620581,0.00008525152,0.000003627109,0.0000024408,0.01372844],"genre_scores_gemma":[0.9980316,0.0000774814,0.0002469299,0.00009147891,0.00003674821,0.000001479126,0.000001764282,0.000007015507,0.001505513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2612109,"threshold_uncertainty_score":0.207321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01190973680856646,"score_gpt":0.2196068306108949,"score_spread":0.2076970938023285,"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."}}