{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001160131,0.0001762077,0.0002957833,0.0003076026,0.0001932017,0.00009227617,0.0005291454,0.0001044309,0.0003889676],"category_scores_gemma":[0.0004264385,0.00007339651,0.0001923016,0.00975994,0.0001192745,0.0001727997,0.0001699166,0.0002330092,0.00006004005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005598925,"about_ca_system_score_gemma":0.00002930694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005648338,"about_ca_topic_score_gemma":0.000177959,"domain_scores_codex":[0.9978582,0.0000868203,0.0008051458,0.0004195689,0.0005360553,0.0002942205],"domain_scores_gemma":[0.9981908,0.0007414409,0.0001982484,0.0002135069,0.0005938577,0.00006210635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006192733,0.0001454914,0.003861415,0.0000698847,0.0003883475,7.891773e-7,0.0005734559,0.0006272347,0.7900046,0.04264405,0.006385624,0.1552372],"study_design_scores_gemma":[0.000315681,0.00135761,0.09946593,0.0002529142,0.0006517228,0.00001388305,0.001118777,0.1291253,0.508366,0.007306064,0.2511601,0.0008660967],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9590806,0.0001485846,0.02831072,0.009082041,0.0001225031,0.000775816,0.00008193332,0.00009164364,0.002306199],"genre_scores_gemma":[0.9979335,0.00006013978,0.000468876,0.0003803964,0.0002523249,0.0001778348,0.0001582168,0.000003388086,0.0005653045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2816387,"threshold_uncertainty_score":0.4689327,"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."}}