{"id":"W2392226221","doi":"","title":"Parents Propagation and Hybrid Seed Production Technology of Qiandan No.18 Rape","year":2008,"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":"Production (economics); Horticulture; Environmental science; Agricultural engineering; Agronomy; Biology; Engineering; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008770859,0.00006653753,0.0001584546,0.0001302588,0.00005079689,0.000001651885,0.00002902793,0.00004587208,0.00003003921],"category_scores_gemma":[0.0007984759,0.00004828419,0.00001881868,0.0001702797,0.0001892955,0.00003817345,0.00002065609,0.000104524,0.00004308367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002670184,"about_ca_system_score_gemma":0.0001017543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002247483,"about_ca_topic_score_gemma":0.000001672678,"domain_scores_codex":[0.9992482,0.00001916235,0.0001346863,0.000170845,0.0002718707,0.0001552122],"domain_scores_gemma":[0.9995179,0.00001188061,0.00004440947,0.0001498186,0.0001591533,0.0001168106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008362138,0.0006238468,0.8403583,0.0002631858,0.0001598563,0.0001936179,0.0001566243,2.237284e-7,0.1390447,0.00003802845,0.0007381846,0.01758726],"study_design_scores_gemma":[0.003829394,0.00142795,0.7971425,0.0001808739,0.00005320401,0.0003441576,0.00007027092,0.0001400825,0.1952749,0.0002929544,0.001159193,0.0000845137],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969622,0.000170727,0.00005948817,0.001060459,0.00008029966,0.0004614144,0.000002798329,0.0000415858,0.001161028],"genre_scores_gemma":[0.9972321,0.000206156,0.0003948312,0.00002586131,0.00006472394,0.00002301583,0.00003876893,0.000007081494,0.002007432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05623021,"threshold_uncertainty_score":0.1968972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0263639588760754,"score_gpt":0.2979200651039485,"score_spread":0.2715561062278731,"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."}}