{"id":"W6992094069","doi":"","title":"Középiskolások egészségmagatartásának vizsgálata","year":2014,"lang":"hu","type":"other","venue":"University of Debrecen Electronic Archive (University of Debrecen)","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; European union; Quarter (Canadian coin); Order (exchange); Public health","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","open_science","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.01897044,0.001587662,0.0100387,0.002795472,0.0009807077,0.0001329602,0.01105152,0.0009701154,0.226349],"category_scores_gemma":[0.002205873,0.001541703,0.006199556,0.002636289,0.002093878,0.0006917716,0.001977516,0.001564262,0.01918103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004997119,"about_ca_system_score_gemma":0.001799322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002870479,"about_ca_topic_score_gemma":0.01648516,"domain_scores_codex":[0.9728865,0.01222412,0.00399864,0.003418431,0.005620082,0.001852208],"domain_scores_gemma":[0.9716599,0.004042216,0.01444707,0.007228809,0.001703946,0.0009180526],"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":[0.0008261636,0.0009047589,0.003713341,0.001120348,0.007952825,0.0001250134,0.006505704,0.0002145272,0.0009325773,0.01803923,0.8587135,0.100952],"study_design_scores_gemma":[0.002314896,0.0006368068,0.002528618,0.0007114121,0.003454364,0.00003469758,0.006758754,0.01348683,0.00002132166,0.005243813,0.9634778,0.001330659],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01296816,0.005430297,0.3465537,0.003016799,0.0009311122,0.004009779,0.00204774,0.0001059036,0.6249365],"genre_scores_gemma":[0.1102457,0.01126264,0.02641185,0.0002586038,0.0002780228,3.60563e-7,0.0009634086,0.0003614312,0.850218],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3201419,"threshold_uncertainty_score":0.9996871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1745536486188393,"score_gpt":0.3254583067923834,"score_spread":0.1509046581735441,"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."}}