{"id":"W4403539472","doi":"10.52269/22266070_2024_3_53","title":"APPLICATION OF CLUSTER ANALYSIS TO DETERMINE THE BREEDING VALUE OF LENTILS (Lens culinaris Medik)","year":2024,"lang":"en","type":"article","venue":"3i intellect idea innovation - интеллект идея инновация","topic":"Moringa oleifera research and applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Lens (geology); Cluster (spacecraft); Biology; Mathematics; Computer science; Statistics","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":[0.002578345,0.0005683402,0.000627316,0.0045524,0.001509491,0.001456933,0.0004614818,0.0003394514,0.001308185],"category_scores_gemma":[0.004248545,0.0001722365,0.000836682,0.003505419,0.0005388411,0.000352277,0.0007799687,0.0006061528,0.0003021729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000900826,"about_ca_system_score_gemma":0.001076305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006978244,"about_ca_topic_score_gemma":0.005604679,"domain_scores_codex":[0.9982378,0.0006759727,0.0001353039,0.0004379273,0.0003487892,0.0001641229],"domain_scores_gemma":[0.99751,0.001087221,0.0002624246,0.0002695319,0.0007009191,0.0001699834],"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":[0.002753347,0.0009372881,0.3466627,0.000912333,0.001803943,0.0006728967,0.00864518,0.01545785,0.1254687,0.006438278,0.003440506,0.486807],"study_design_scores_gemma":[0.0001275284,0.001393939,0.8315988,0.0001382794,0.0006199626,0.0007386131,0.006341704,0.1092059,0.03081034,0.007799108,0.0109675,0.0002583399],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8522444,0.0007322305,0.1377289,0.0001937692,0.0001329203,0.0007847794,0.001749636,0.0006448743,0.005788533],"genre_scores_gemma":[0.888939,0.0001340465,0.1081021,0.00001774979,0.00002425005,0.0004279827,0.001261261,0.0000765063,0.001017132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006978244,"threshold_uncertainty_score":0.01387525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0501356476342803,"score_gpt":0.30931493426048,"score_spread":0.2591792866261997,"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."}}