{"id":"W4235172598","doi":"10.1038/462295b","title":"50 &amp; 100 years ago","year":2009,"lang":"en","type":"article","venue":"Nature","topic":"Medical History and Innovations","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"MEDLINE; Biology; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001286184,0.0004206965,0.0002645792,0.001214902,0.00302023,0.004366016,0.0006844887,0.005628402,0.08583933],"category_scores_gemma":[0.005045661,0.0002485012,0.0004478026,0.000694236,0.003447111,0.002500386,0.002609045,0.004573218,0.02408884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003715413,"about_ca_system_score_gemma":0.001817961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01070782,"about_ca_topic_score_gemma":0.02680813,"domain_scores_codex":[0.9989977,0.0001740531,0.00004020632,0.0001980784,0.0003870964,0.0002028423],"domain_scores_gemma":[0.998956,0.0002957802,0.00004672524,0.0001279935,0.000310171,0.0002632952],"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":[0.0001070491,0.00007067916,0.0007679039,0.00009025676,0.00001154121,0.0008891999,0.0008410101,0.00008184209,0.0003557977,0.2504511,0.6743708,0.07196284],"study_design_scores_gemma":[0.000004384866,0.000004869501,0.000508844,0.00003726691,0.000001932985,0.00007618759,0.00008575874,0.00001317694,0.0001130859,0.005308161,0.9938424,0.000003869778],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005012454,0.009463398,0.001166101,0.1201689,0.04031552,0.00007191824,0.001000778,0.0001570189,0.8226438],"genre_scores_gemma":[0.01809374,0.001316084,0.0004397685,0.01711358,0.002742801,0.00003481476,0.000151952,0.00006212744,0.9600452],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08583933,"threshold_uncertainty_score":0.2871612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0276111321738953,"score_gpt":0.2615529264661327,"score_spread":0.2339417942922374,"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."}}