{"id":"W4372337227","doi":"10.1113/jp284728","title":"In Memoriam: Ann Silver","year":2023,"lang":"en","type":"article","venue":"The Journal of Physiology","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Content (measure theory); Computer science; Information retrieval; Chemistry; 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":[0.001328227,0.001145047,0.0009782256,0.0009141919,0.004141198,0.004149502,0.001730028,0.003943138,0.1169143],"category_scores_gemma":[0.01513285,0.0003923748,0.0006613012,0.0004497182,0.001059603,0.003684785,0.002712954,0.00925156,0.07828987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002177836,"about_ca_system_score_gemma":0.002080636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005040354,"about_ca_topic_score_gemma":0.01057895,"domain_scores_codex":[0.9988269,0.0001782251,0.0001037871,0.0002735049,0.0004725132,0.0001450241],"domain_scores_gemma":[0.9954711,0.0008764427,0.0002840637,0.0002252244,0.002406427,0.0007367153],"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":[0.000006737271,0.0000026421,0.00002397464,0.00001063412,7.473744e-7,0.0000412451,0.00002200219,0.000003074894,0.00001258226,0.0001454639,0.9974051,0.00232573],"study_design_scores_gemma":[0.000003061903,0.00000497176,0.0001348334,0.00006602376,0.000001818042,0.0001126334,0.0001224479,0.00001755844,0.00003199278,0.0002510475,0.9992489,0.000004638373],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0003607114,0.005308277,0.000269033,0.3311941,0.6160902,0.0000594757,0.0005164346,0.0003736489,0.04582811],"genre_scores_gemma":[0.00696152,0.004618885,0.0003656293,0.2036601,0.1763187,0.0001638813,0.0004888352,0.0003100594,0.6071125],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1169143,"threshold_uncertainty_score":0.3911173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01849070574337435,"score_gpt":0.2773204493925759,"score_spread":0.2588297436492015,"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."}}