{"id":"W2908032941","doi":"10.30835/2413-7510.2013.41992","title":"Здатність вихідного матеріалу до утворення перспективних ліній і сортів ячменю ярого","year":2013,"lang":"en","type":"article","venue":"Plant Breeding and Seed Production","topic":"Agriculture and Biological Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ukrainian; Czech; Geography","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":[0.001295445,0.0003520692,0.0003302167,0.002323304,0.001126683,0.002281417,0.0003123215,0.0004968721,0.005900364],"category_scores_gemma":[0.001347399,0.0005600172,0.0004727411,0.00192075,0.001213591,0.0008259664,0.0006252662,0.0008859628,0.002750638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009482685,"about_ca_system_score_gemma":0.001696381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003267153,"about_ca_topic_score_gemma":0.006156504,"domain_scores_codex":[0.9990556,0.0001469141,0.00006149644,0.0002286163,0.0004080681,0.00009940971],"domain_scores_gemma":[0.9991722,0.0002037129,0.0002576285,0.0001026956,0.0001992446,0.00006455232],"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":[0.0006922594,0.0002663135,0.0714736,0.001332433,0.0001406193,0.003095345,0.004076056,0.004393817,0.2513749,0.04619952,0.002920113,0.6140351],"study_design_scores_gemma":[0.0000748714,0.001139193,0.3308173,0.0007013369,0.0003845163,0.01121151,0.006066415,0.005173564,0.1896313,0.04835974,0.4060731,0.0003671622],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6953715,0.04339185,0.1231803,0.001536602,0.000486118,0.0003115603,0.00238497,0.0003233399,0.1330138],"genre_scores_gemma":[0.9095095,0.01452415,0.05890067,0.0001031053,0.0001053364,0.0001721006,0.0006969058,0.0001609702,0.01582718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005900364,"threshold_uncertainty_score":0.01973867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02486596776305543,"score_gpt":0.1696382207600532,"score_spread":0.1447722529969978,"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."}}