{"id":"W973821709","doi":"","title":"Az őszi búza virágzási és érési időpontjainak előrejelzése hosszú fenológiai adatsorok alapján","year":2013,"lang":"hu","type":"article","venue":"Repository of the Academy's Library (Library of the Hungarian Academy of Sciences)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"McMaster University","keywords":"Physics; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001031742,0.0004772118,0.0005575064,0.002148197,0.00338161,0.01263538,0.0004876154,0.001019057,0.02438796],"category_scores_gemma":[0.00124435,0.0002506256,0.0002033064,0.002051876,0.003588677,0.003083941,0.00328205,0.001573758,0.00506961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003389803,"about_ca_system_score_gemma":0.003569015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00362172,"about_ca_topic_score_gemma":0.006258682,"domain_scores_codex":[0.9990944,0.0002501279,0.00005787422,0.0001251499,0.0002960966,0.0001764122],"domain_scores_gemma":[0.9995624,0.00009803935,0.00007527777,0.00006568217,0.0001305739,0.00006795976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003545704,0.0001948246,0.007459429,0.0006350569,0.00004152167,0.001166313,0.0323377,0.0003864453,0.00298343,0.7159246,0.04319805,0.195318],"study_design_scores_gemma":[0.00001701676,0.00002768251,0.009522018,0.0003633306,0.0000263856,0.0007640679,0.0125436,0.0001368217,0.001631045,0.02518198,0.9497556,0.0000304865],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1417594,0.02630739,0.008894859,0.01434538,0.002851456,0.00007698515,0.001232693,0.0005683119,0.8039635],"genre_scores_gemma":[0.696228,0.01047502,0.004818189,0.001395135,0.0005520713,0.00008738894,0.0006964643,0.0003571062,0.2853906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02438796,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02175296825258639,"score_gpt":0.2252090204811888,"score_spread":0.2034560522286024,"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."}}