{"id":"W6945638138","doi":"10.25549/pcra-c14-135393","title":"Wigglesworth letters, 1924-1949","year":2021,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Botanical Research and Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Brother; Government (linguistics); Table (database); Key (lock); Character (mathematics)","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":[0.0006736661,0.002137427,0.001279044,0.004989918,0.001110034,0.003235776,0.001884951,0.001687608,0.1526688],"category_scores_gemma":[0.006482788,0.000609156,0.0007862711,0.01090911,0.000478669,0.001687402,0.001821919,0.001580356,0.2789872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001523357,"about_ca_system_score_gemma":0.002725556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05025571,"about_ca_topic_score_gemma":0.1035641,"domain_scores_codex":[0.9990369,0.0001116829,0.0001418889,0.0003161631,0.0002334237,0.0001600371],"domain_scores_gemma":[0.9976682,0.0005919856,0.0002732733,0.0004327731,0.0007863234,0.0002473287],"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":[0.00002486607,0.000006217009,0.0003733044,0.0002049222,0.00000558369,0.00001420085,0.00001278951,0.00005299578,0.00002295423,0.0001369156,0.9978952,0.001249951],"study_design_scores_gemma":[0.00008365454,0.000007935574,0.003884863,0.0002468334,0.00001011958,0.00003839449,0.0001062227,0.00009666707,0.00009754433,0.0004534403,0.9949595,0.00001472623],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007195033,0.00006398906,0.00001706705,0.00003770407,0.00002496192,0.000003307714,0.9988506,0.00009274515,0.0008377417],"genre_scores_gemma":[0.0002624424,0.00006753963,0.00007982687,0.00003741022,0.00001063769,0.00002889382,0.9975213,0.00004651889,0.001945366],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1526688,"threshold_uncertainty_score":0.5107279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009089385080927506,"score_gpt":0.1612287114925778,"score_spread":0.1521393264116503,"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."}}