{"id":"W2350567695","doi":"","title":"Genetic Potentiality of Canada Inbred Lines to Improve Heilongjiang Province Elite Hybrids","year":2012,"lang":"en","type":"article","venue":"Heilongjiang nongye kexue","topic":"Agricultural Systems and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inbred strain; Hybrid; Biology; Germplasm; Biotechnology; Agronomy; Genetics; Gene","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":[0.0004533049,0.0003095551,0.0004126265,0.00001658608,0.0002712305,0.00008178693,0.0004254564,0.0001272896,0.000269158],"category_scores_gemma":[0.0001722804,0.0001235087,0.000132427,0.0004450068,0.00004411618,0.0004500642,0.0001760137,0.0001786767,0.00004560495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000104638,"about_ca_system_score_gemma":0.00009993208,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4015428,"about_ca_topic_score_gemma":0.493453,"domain_scores_codex":[0.9975238,0.0001834382,0.0005840019,0.0004204694,0.0005149956,0.0007732895],"domain_scores_gemma":[0.9985482,0.0002244837,0.0003420538,0.0001756982,0.0002117611,0.0004977745],"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":[0.0002038458,0.0004331058,0.171795,0.0002276143,0.0001637869,0.00004922331,0.0004538506,0.00005507131,0.6488718,0.0002773665,0.02183485,0.1556345],"study_design_scores_gemma":[0.0001378894,0.000169109,0.876193,0.00006726794,0.00003573934,0.00003592624,0.0004589148,0.00002284705,0.01138926,0.00001869947,0.1110225,0.0004488699],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930651,0.001106762,0.00001458992,0.0021179,0.0009131944,0.0006584819,0.0002035095,0.00006338433,0.001857036],"genre_scores_gemma":[0.9948704,0.00002567628,0.0004306717,0.00044965,0.00153313,0.00004309122,0.0000410986,0.000003656914,0.002602611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.704398,"threshold_uncertainty_score":0.6024424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01148273016770273,"score_gpt":0.2058633157628945,"score_spread":0.1943805855951918,"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."}}