{"id":"W6959523177","doi":"10.7281/t1/bmathh/0cawis","title":"15_B4.tar.008","year":2021,"lang":"en","type":"dataset","venue":"Research Data Repository, Duke University","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Process (computing); Object (grammar); Relation (database); Compression (physics)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000969055,0.0002334138,0.0003425504,0.00006411521,0.001071395,0.000217904,0.003095749,0.0005205708,0.0006439876],"category_scores_gemma":[0.0001198535,0.0001144832,0.0001126304,0.0006186303,0.000302176,0.0001623297,0.00340107,0.0009919428,0.0001690044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001253042,"about_ca_system_score_gemma":0.0001851178,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007053134,"about_ca_topic_score_gemma":0.00566894,"domain_scores_codex":[0.9962888,0.001018588,0.0001891741,0.001098067,0.0007582154,0.0006472024],"domain_scores_gemma":[0.9979221,0.000397632,0.00008570401,0.0009495733,0.0003446764,0.0003003181],"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":[0.00003815281,0.0001423374,0.00009138452,0.00002905855,0.00003826307,0.00188115,0.000004799545,1.465325e-7,0.009428761,0.00001206623,0.9870902,0.001243622],"study_design_scores_gemma":[0.0001005838,0.0001799385,0.00136792,0.00004636455,0.00003882442,0.00007984098,0.0002177997,0.000006207405,0.0003669305,0.000008090297,0.9973329,0.0002545686],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01021854,0.0007440394,3.715242e-7,0.0004689716,0.000495925,0.0001996188,0.9860862,0.00002709805,0.001759223],"genre_scores_gemma":[0.0008474187,0.002892039,0.0000297275,0.00003585825,0.001138639,7.053647e-7,0.9908262,0.00000127845,0.004228145],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01024267,"threshold_uncertainty_score":0.999559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1333469350536678,"score_gpt":0.3127639770159667,"score_spread":0.1794170419622989,"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."}}