{"id":"W3117890636","doi":"10.30835/2413-7510.2020.206962","title":"Ознакова колекція сочевиці (Lens culinaris Medik.) за харчовою цінністю насіння","year":2020,"lang":"en","type":"article","venue":"Plant Breeding and Seed Production","topic":"Agriculture and Biological Studies","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Genetic resources; Subspecies; Horticulture; Botany; Biotechnology","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":[0.0003470788,0.0002081449,0.0002488434,0.001345021,0.0005164997,0.0008783516,0.0001418822,0.0001620566,0.003449141],"category_scores_gemma":[0.0002757593,0.0001671036,0.0002284002,0.001225471,0.0003676186,0.000347555,0.0003261881,0.0003756484,0.001780669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006263425,"about_ca_system_score_gemma":0.00071437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004499815,"about_ca_topic_score_gemma":0.005357373,"domain_scores_codex":[0.9997454,0.00003447588,0.0000217652,0.0000612973,0.0001013797,0.00003560944],"domain_scores_gemma":[0.9998455,0.0000211697,0.00004825198,0.00001498496,0.00005343799,0.00001666601],"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":[0.0005156453,0.0001113024,0.04248952,0.001011968,0.00008733759,0.002458445,0.001780542,0.001625762,0.2256941,0.01941829,0.003981403,0.7008257],"study_design_scores_gemma":[0.00004226071,0.0005955449,0.3137462,0.0002984639,0.0001804819,0.008227789,0.002124121,0.001536221,0.09141975,0.008086228,0.573597,0.0001459887],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7806488,0.0658646,0.04585953,0.0007703902,0.0004290245,0.000157574,0.00324049,0.0003036569,0.1027259],"genre_scores_gemma":[0.9432737,0.01850866,0.02014162,0.00008770752,0.0001105515,0.00007816179,0.001702654,0.0000661427,0.01603092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004499815,"threshold_uncertainty_score":0.01153851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05670366536421904,"score_gpt":0.1878856161665684,"score_spread":0.1311819508023493,"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."}}