{"id":"W6961177076","doi":"10.14288/1.0123698","title":"The Ubyssey","year":2016,"lang":"en","type":"article","venue":"Open Collections","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Identification (biology); Work (physics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000803126,0.001033508,0.0007899788,0.002442405,0.004566645,0.008438606,0.0009117506,0.002067718,0.5687537],"category_scores_gemma":[0.004526631,0.00071818,0.0005912562,0.002181019,0.001027776,0.003221082,0.001813531,0.003783167,0.4140621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002863066,"about_ca_system_score_gemma":0.002266384,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03875814,"about_ca_topic_score_gemma":0.1061946,"domain_scores_codex":[0.9991623,0.00007569771,0.00003735177,0.0001251465,0.0005011429,0.00009840355],"domain_scores_gemma":[0.997419,0.0003226642,0.00008709486,0.0001877852,0.001563324,0.0004201801],"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":[0.00001319106,0.000003506557,0.00002177673,0.00001698573,7.62037e-7,0.00001219615,0.0000127559,0.000005674767,0.0000366229,0.0004569546,0.9942167,0.005202716],"study_design_scores_gemma":[0.000002239816,0.000003441704,0.000198591,0.00003164715,9.376436e-7,0.0000234233,0.00004970806,0.00001194293,0.0000439497,0.0002139641,0.9994168,0.000003258795],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006079923,0.009259202,0.0008529032,0.03002358,0.1641302,0.00008746981,0.004940657,0.001763171,0.7883348],"genre_scores_gemma":[0.0008873518,0.0009714544,0.0001429675,0.002114733,0.003305947,0.000008501942,0.0007281278,0.0004638626,0.991377],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9612418,"threshold_uncertainty_score":0.6151205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02381030101885086,"score_gpt":0.2331455245719639,"score_spread":0.209335223553113,"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."}}