{"id":"W2049042321","doi":"10.2135/cropsci2004.0687","title":"A Curated Internet Database of Oat Pedigrees","year":2005,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Pedigree chart; Biology; Avena; The Internet; Database; Variety (cybernetics); Interface (matter); World Wide Web; Botany; Genetics; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001475782,0.001019178,0.001125356,0.01146687,0.000785661,0.00225806,0.001506416,0.0008970855,0.0307944],"category_scores_gemma":[0.007438097,0.0005091465,0.0006057601,0.01528822,0.0001904244,0.002124643,0.001809016,0.00106712,0.0179541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008152631,"about_ca_system_score_gemma":0.00286517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006539221,"about_ca_topic_score_gemma":0.01148572,"domain_scores_codex":[0.9989035,0.0001521225,0.0003220433,0.0002483603,0.0003067249,0.00006722545],"domain_scores_gemma":[0.9948926,0.001199721,0.000844254,0.00120178,0.00129257,0.000569128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008186538,0.0003890933,0.0131207,0.003853187,0.0002724484,0.001519781,0.0005943735,0.002620911,0.0150798,0.01032116,0.6827788,0.2686311],"study_design_scores_gemma":[0.0001787408,0.00007496055,0.03009107,0.0005349325,0.0002120439,0.001303242,0.0001617902,0.002971548,0.003533761,0.005720352,0.955119,0.00009863382],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006697643,0.00106848,0.0192547,0.0002238991,0.0001087948,0.0002995141,0.9449697,0.0143693,0.01300813],"genre_scores_gemma":[0.006531536,0.0007526586,0.0260744,0.00008457204,0.00003662963,0.0001834656,0.9630986,0.000825199,0.002412824],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0307944,"threshold_uncertainty_score":0.1030176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04293066815252899,"score_gpt":0.2370744552218711,"score_spread":0.1941437870693421,"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."}}