{"id":"W4391507002","doi":"10.52058/2708-7530-2024-1(43)-903-913","title":"ЯВИЩЕ ІНКЛЮЗІЇ В ОСВІТНЬОМУ СЕРЕДОВИЩІ","year":2024,"lang":"uk","type":"article","venue":"Наукові перспективи (Naukovì perspektivi)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003247669,0.0009134088,0.0005943289,0.00260271,0.004175961,0.01142233,0.001454424,0.002515826,0.03915552],"category_scores_gemma":[0.009690695,0.0007976069,0.0009466606,0.002188412,0.008133444,0.007394409,0.004298859,0.00333545,0.01417326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004796075,"about_ca_system_score_gemma":0.008332413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009423199,"about_ca_topic_score_gemma":0.008044777,"domain_scores_codex":[0.9946572,0.001350238,0.0003330567,0.001082931,0.002002654,0.000573805],"domain_scores_gemma":[0.9947502,0.001410137,0.0004911784,0.0008443163,0.001950774,0.0005533176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009026428,0.00005708337,0.002748852,0.0003929612,0.00004190387,0.0005156588,0.007017973,0.0008292664,0.002668691,0.9050997,0.01585291,0.06468475],"study_design_scores_gemma":[0.00003536966,0.00006185461,0.005418964,0.0005589701,0.00006963242,0.0007190547,0.008310604,0.001557687,0.003533025,0.374274,0.6053476,0.0001133084],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0327838,0.008371215,0.09803779,0.01591492,0.001717217,0.0002570259,0.001105565,0.00059811,0.8412144],"genre_scores_gemma":[0.5919989,0.0111912,0.1082125,0.003280235,0.0009789378,0.0007688448,0.001399576,0.001076158,0.2810935],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03915552,"threshold_uncertainty_score":0.1309882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009219341622223029,"score_gpt":0.2279760914311509,"score_spread":0.2187567498089278,"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."}}