{"id":"W4385471535","doi":"10.1002/j.1435-0653.2000.tb21501.x","title":"Registration of ‘MN1401’","year":2000,"lang":"en","type":"article","venue":"Crop Science","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Citation; Promotion (chess); Biology; Computer science; Political science; Law","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":[0.0001705132,0.00002782164,0.00003171033,0.000003868177,0.0001190351,0.00002911939,0.000163981,0.0000136243,0.0008422933],"category_scores_gemma":[0.00002330918,0.00000992126,0.00001439268,0.0004136347,0.0001976736,0.00008276738,0.000008317155,0.00001562619,0.00002736227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005377357,"about_ca_system_score_gemma":0.000008861004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005554387,"about_ca_topic_score_gemma":0.00002153833,"domain_scores_codex":[0.9995303,0.000005557882,0.00008243582,0.000115839,0.0001788812,0.00008702451],"domain_scores_gemma":[0.9998423,0.00001150391,0.00003028155,0.00003217093,0.00005423691,0.00002943438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000002018956,0.0000116774,0.001104656,4.064543e-7,1.71835e-7,8.69757e-8,0.00003298376,0.0000105197,0.7829065,0.000507438,0.0001031503,0.2153204],"study_design_scores_gemma":[0.00004509313,0.000132215,0.8105721,0.000007768347,0.00000154988,0.000001917135,0.00009651647,0.0004088268,0.1707484,0.001281228,0.01662228,0.00008204212],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981011,0.00001991527,0.000002223918,0.0002280069,0.00002566401,0.0000353706,0.000001842978,0.00001002415,0.01866589],"genre_scores_gemma":[0.9988961,0.00001003778,0.0001010937,0.00004996595,0.00003619464,0.000001027209,0.000002268274,9.000744e-8,0.0009032646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8094674,"threshold_uncertainty_score":0.9222521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02319395045196751,"score_gpt":0.2304316024411146,"score_spread":0.2072376519891471,"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."}}