{"id":"W2373954169","doi":"","title":"Application on Comprehensive Evaluation of Rice Variety with Analysis Method of Multifactor Situation Sequent for Four-element Connection Number","year":2007,"lang":"en","type":"article","venue":"Seed","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sequent; Connection (principal bundle); Variety (cybernetics); Element (criminal law); Mathematics; Computer science; Statistics; Geometry; Discrete mathematics; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001169572,0.0008845975,0.000667875,0.002203301,0.0008726614,0.0004859269,0.0006257625,0.0003528466,0.002139996],"category_scores_gemma":[0.002374645,0.0002348905,0.0008339075,0.001528805,0.0003453884,0.001000945,0.0004996765,0.0003022314,0.0002345999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005639233,"about_ca_system_score_gemma":0.0009424894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004201619,"about_ca_topic_score_gemma":0.00437357,"domain_scores_codex":[0.9988983,0.0002381708,0.00005395542,0.0004097718,0.0003416757,0.0000581807],"domain_scores_gemma":[0.9987119,0.000543648,0.00007555196,0.0001069073,0.0004935622,0.00006829133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008649235,0.0004189503,0.07235056,0.0005776375,0.0003692056,0.0004373835,0.001404198,0.07553502,0.2457412,0.01243977,0.00189027,0.5879709],"study_design_scores_gemma":[0.0001041397,0.0007530111,0.1177655,0.00004790496,0.0008323936,0.0007369386,0.0008528185,0.752667,0.101026,0.01910297,0.005890377,0.0002210203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2865532,0.0002130734,0.7092888,0.00005238987,0.00003015704,0.0001069274,0.0003809244,0.0009153705,0.002459203],"genre_scores_gemma":[0.7095602,0.0001096435,0.2879503,0.00001526998,0.00001453739,0.0001513229,0.0005951468,0.00006916882,0.001534491],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004201619,"threshold_uncertainty_score":0.008354306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09858116781094593,"score_gpt":0.4405494773566168,"score_spread":0.3419683095456708,"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."}}