{"id":"W6926722848","doi":"10.25549/finch-c55-426","title":"Arietta A. Kelly (née Hutton), letter, 1885 Oct. 5, to Mabel M. Kelly (née Silliman)","year":2016,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Evening; Mount; Nice; Quarter (Canadian coin)","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":[0.001448715,0.0007360244,0.001153364,0.002234531,0.0009382211,0.002998903,0.001266452,0.001567913,0.2519791],"category_scores_gemma":[0.01564991,0.0004154512,0.0005824948,0.004805806,0.0003082975,0.002306014,0.001480187,0.001470061,0.3152983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001551161,"about_ca_system_score_gemma":0.002571902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03149655,"about_ca_topic_score_gemma":0.08627477,"domain_scores_codex":[0.9989961,0.0002178866,0.0001453481,0.0002172688,0.000332633,0.00009085358],"domain_scores_gemma":[0.9946061,0.001779499,0.0005580859,0.0004925419,0.001791738,0.0007720293],"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":[0.0000151631,0.000001033354,0.0001469597,0.00005006202,0.000001506725,0.000002794281,0.00000211062,0.000004903892,0.000003896405,0.00004003156,0.998695,0.001036538],"study_design_scores_gemma":[0.00004578582,0.000005629822,0.00203925,0.0001741485,0.000005740991,0.00002107712,0.000036015,0.00003642522,0.00003398126,0.0001911088,0.997402,0.00000887547],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002086677,0.001531678,0.0001061425,0.008562131,0.0008798488,0.00002817125,0.9681805,0.0004667475,0.02003614],"genre_scores_gemma":[0.002272818,0.00289261,0.0005336563,0.007957213,0.0006038407,0.0003142313,0.9037366,0.0004457472,0.08124333],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7480209,"threshold_uncertainty_score":0.8429542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006313037891506776,"score_gpt":0.1688094594915069,"score_spread":0.1624964216000001,"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."}}