{"id":"W7066424155","doi":"","title":"Immunológiai, cito- és molekuláris genetikai vizsgálatok eredményei és azok jelentősége az epiteliális pajzsmirigydaganatok patogenézisében és kórlefolyásában","year":2007,"lang":"hu","type":"other","venue":"University of Debrecen Electronic Archive (University of Debrecen)","topic":"Adaptive optics and wavefront sensing","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medium term; Context (archaeology); Statistical analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001830056,0.0009234789,0.001020779,0.001706164,0.001490577,0.005867508,0.0009813495,0.002204288,0.02950018],"category_scores_gemma":[0.002613517,0.0005249403,0.001032867,0.001181008,0.00216033,0.002280388,0.002536765,0.002635988,0.009166062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002841737,"about_ca_system_score_gemma":0.002304084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005649565,"about_ca_topic_score_gemma":0.006289273,"domain_scores_codex":[0.9983571,0.0003525939,0.0001112985,0.0003323312,0.0005157112,0.0003309781],"domain_scores_gemma":[0.9984202,0.0004530398,0.0002889344,0.0001818914,0.0004421035,0.0002136361],"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":[0.00222799,0.00100794,0.0665473,0.006169463,0.0005034756,0.006305831,0.004512851,0.001087951,0.2292408,0.0609277,0.06931478,0.5521539],"study_design_scores_gemma":[0.0001059904,0.0007953904,0.05516999,0.001588934,0.0004114868,0.01180563,0.005058312,0.0007799344,0.06900684,0.02285172,0.8322261,0.000199669],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2485328,0.2957755,0.03272113,0.07060678,0.009572689,0.0008938176,0.0068542,0.001375548,0.3336675],"genre_scores_gemma":[0.5575877,0.1535877,0.02580398,0.01768459,0.003476944,0.0008796382,0.004434109,0.0004016003,0.2361437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02950018,"threshold_uncertainty_score":0.09868795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005668917214862229,"score_gpt":0.1790139181521513,"score_spread":0.1733450009372891,"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."}}