{"id":"W7053337959","doi":"","title":"Tevékenységelemzés és tevékenységtanítás halmozottan fogyatékos mozgáskorlátozott gyermekek esetében a kanadai tevékenységelemző mérés módszerével","year":2015,"lang":"hu","type":"dissertation","venue":"ELTE Digital Institutional Repository (EDIT) (Eötvös Loránd University)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Process (computing); Identification (biology); Matching (statistics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.000480418,0.002699933,0.002039631,0.002249564,0.002937333,0.001589674,0.002963003,0.002141214,0.0002802354],"category_scores_gemma":[0.0003753814,0.003262371,0.001320153,0.003235587,0.001292981,0.00496093,0.0005532142,0.00274343,0.00146268],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005011324,"about_ca_system_score_gemma":0.006245709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001288062,"about_ca_topic_score_gemma":0.0005546967,"domain_scores_codex":[0.9891267,0.0002455963,0.002209792,0.002957757,0.003146556,0.002313617],"domain_scores_gemma":[0.9916364,0.0004755102,0.001167607,0.002154718,0.002213362,0.002352426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006543912,0.009479649,0.007084618,0.006433126,0.0144481,0.04134538,0.009468085,0.1041972,0.03882741,0.3377098,0.3923438,0.03211899],"study_design_scores_gemma":[0.005500853,0.0006625172,0.003809966,0.001631974,0.001765865,0.001371168,0.005250683,0.009552651,0.004974881,0.002845075,0.9564583,0.006176082],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1902948,0.00256496,0.003842193,0.0003370358,0.01165846,0.003616945,0.005939316,0.002045574,0.7797007],"genre_scores_gemma":[0.8438988,0.00035566,0.0007157262,0.000110318,0.003229581,0.00009627896,0.01253663,0.0004201419,0.1386369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6536039,"threshold_uncertainty_score":0.9995573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01246710424362012,"score_gpt":0.2050370542032303,"score_spread":0.1925699499596102,"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."}}