{"id":"W3084730613","doi":"10.4231/phkh-4334","title":"Alfalfa Variety Trial Database, 1986-1999","year":2020,"lang":"en","type":"article","venue":"Purdue University Research Repository","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Database; Computer science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009474258,0.0008322776,0.0008003665,0.002581744,0.000516029,0.001151341,0.001351474,0.0005681685,0.01517987],"category_scores_gemma":[0.002698781,0.0002587045,0.0004581941,0.004820604,0.0001527766,0.0007009559,0.0005932237,0.0004882488,0.02086385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002012008,"about_ca_system_score_gemma":0.002000904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04305718,"about_ca_topic_score_gemma":0.06237959,"domain_scores_codex":[0.9991015,0.00007081473,0.000165905,0.0002494493,0.0003162077,0.00009606358],"domain_scores_gemma":[0.997658,0.0002051846,0.000257802,0.0004619176,0.001276443,0.0001405626],"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":[0.0008237876,0.0001103585,0.01116894,0.0006470372,0.00006466633,0.00008272456,0.00005845076,0.001049477,0.001353978,0.0007826165,0.9668819,0.0169762],"study_design_scores_gemma":[0.0002997128,0.00010876,0.06649872,0.0001346979,0.00006137828,0.00009301456,0.0001866674,0.001398138,0.002219352,0.0005379973,0.9284115,0.0000500836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001991223,0.00005099929,0.0001002277,0.00003197672,0.00001649245,0.00002417978,0.996082,0.0002557643,0.001447159],"genre_scores_gemma":[0.001334889,0.00002670668,0.0001833449,0.00001331852,0.000002852069,0.00004553074,0.997613,0.00001952226,0.0007607939],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04305718,"threshold_uncertainty_score":0.08561313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09004616612316209,"score_gpt":0.2737771344949912,"score_spread":0.1837309683718291,"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."}}