{"id":"W7002121350","doi":"","title":"A Magyar Pékség Kft. informatikai rendszerének bemutatása","year":2009,"lang":"hu","type":"other","venue":"University of Debrecen Electronic Archive (University of Debrecen)","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Consumption (sociology); West germany; Context (archaeology); Quarter (Canadian coin)","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":[0.005343415,0.001040345,0.000773438,0.002952786,0.004922931,0.01777771,0.001882139,0.006134777,0.1139346],"category_scores_gemma":[0.01283884,0.0008543211,0.001164795,0.003841478,0.005537212,0.01768025,0.007876237,0.005438429,0.06526452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007515431,"about_ca_system_score_gemma":0.006133585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01201664,"about_ca_topic_score_gemma":0.01040836,"domain_scores_codex":[0.9903772,0.002503535,0.000682811,0.001998131,0.003427322,0.001011051],"domain_scores_gemma":[0.990748,0.003210095,0.0007643165,0.001771008,0.002512548,0.0009939887],"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":[0.0003705316,0.0001892306,0.003424369,0.0009909049,0.0000671812,0.0009060404,0.007866889,0.0007145706,0.005300773,0.4139649,0.2899166,0.2762879],"study_design_scores_gemma":[0.00001142425,0.00003658696,0.00156491,0.0002349526,0.00002465321,0.0004371211,0.002010684,0.0003418986,0.001462411,0.03357085,0.9602682,0.00003624115],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01280157,0.01612735,0.02766012,0.06981636,0.004088155,0.0002245057,0.001688131,0.002347344,0.8652464],"genre_scores_gemma":[0.164101,0.01635154,0.02585792,0.01289755,0.00220735,0.0002465677,0.00243525,0.001099895,0.774803],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1139346,"threshold_uncertainty_score":0.3811494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004896073229760226,"score_gpt":0.1914490965810131,"score_spread":0.1865530233512529,"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."}}