{"id":"W214382483","doi":"","title":"四川省2005—2006年区试小麦品种（系）的SSR遗传多样性","year":2007,"lang":"zh","type":"article","venue":"分子植物育种","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.001752785,0.0002362482,0.0002712692,0.002348508,0.001484106,0.002421524,0.0004159309,0.0005943488,0.008574745],"category_scores_gemma":[0.002278778,0.000171041,0.0003549852,0.003758303,0.0003652295,0.001042284,0.0006032895,0.001155112,0.001791917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00801875,"about_ca_system_score_gemma":0.008173768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1150015,"about_ca_topic_score_gemma":0.1328273,"domain_scores_codex":[0.9992052,0.0001346072,0.00008740191,0.0001082263,0.0002817617,0.0001829371],"domain_scores_gemma":[0.998789,0.0001843071,0.0002139889,0.00003519381,0.0005945266,0.0001829996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006902938,0.0002599645,0.1480158,0.0007008101,0.0002088798,0.0004335907,0.008020373,0.008757687,0.001196915,0.1465235,0.210839,0.4743531],"study_design_scores_gemma":[0.00003772315,0.0001773524,0.3435516,0.0003610482,0.00009229273,0.0001996792,0.005849765,0.001410675,0.002062385,0.004607869,0.6415933,0.00005625124],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3423347,0.01166664,0.008599806,0.01479716,0.001820873,0.000401371,0.02536579,0.0004547345,0.594559],"genre_scores_gemma":[0.7780652,0.004042977,0.009645448,0.00232504,0.0002202675,0.0002376596,0.01413209,0.00007725006,0.1912541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1150015,"threshold_uncertainty_score":0.2286643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007939756247668565,"score_gpt":0.2135378766204969,"score_spread":0.2055981203728283,"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."}}