{"id":"W322282755","doi":"","title":"Wheat - A Link Between China and Canada","year":2006,"lang":"en","type":"article","venue":"今日中国：英文版","topic":"Plant Disease Resistance and Genetics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"China; Link (geometry); Geography; Computer science","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":[0.00003194884,0.00007717839,0.0000961202,0.000002870385,0.0001121135,0.00003122146,0.00008054278,0.00003973686,0.00005833667],"category_scores_gemma":[0.000004597745,0.00002933232,0.00002084773,0.00006334417,0.00002056041,0.00002522435,0.00002240323,0.00004411475,0.000005720789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001428209,"about_ca_system_score_gemma":0.00001902687,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6223363,"about_ca_topic_score_gemma":0.9337195,"domain_scores_codex":[0.9994417,0.00001466389,0.00008844641,0.0001478046,0.0001246807,0.0001827276],"domain_scores_gemma":[0.9998109,0.00004312272,0.00002176726,0.00003007832,0.00001025716,0.00008389408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002724153,0.00003379989,0.7269668,0.00003066859,0.00002822757,0.00008311716,0.00006054126,0.000008508788,0.03829245,0.0002674331,0.07688528,0.1573159],"study_design_scores_gemma":[0.00004523262,0.00002024212,0.8493928,0.000007634582,0.000008795827,0.00000171058,0.00003396563,0.000004998199,0.0005942417,0.00032433,0.1494726,0.00009341003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993782,0.0008240938,5.211501e-7,0.002820464,0.00003362498,0.00005746436,0.0002485227,0.00001893733,0.002214393],"genre_scores_gemma":[0.9981074,0.00007449937,0.00001640452,0.0001369139,0.0006709014,0.00000239674,0.0001396595,4.189185e-7,0.0008514258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3113831,"threshold_uncertainty_score":0.3801785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005528254357025999,"score_gpt":0.1634435125161589,"score_spread":0.1579152581591328,"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."}}