{"id":"W3187876179","doi":"10.26506/pharmhist.62.3-4.0087","title":"Insulin at 100: Indianapolis, Toronto, Woods Hole, and the “Insulin Road”","year":2020,"lang":"en","type":"article","venue":"Pharmacy in History","topic":"Obesity and Health Practices","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Insulin; Medicine; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001568902,0.0002030685,0.0003989876,0.00005549077,0.0007670765,0.000006370997,0.0003211956,0.0001359113,0.007455471],"category_scores_gemma":[0.0005332534,0.0001662249,0.0000563507,0.0001210102,0.0002567156,0.0004913196,0.0002827908,0.001353756,0.001628644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001799775,"about_ca_system_score_gemma":0.0006104995,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02360174,"about_ca_topic_score_gemma":0.01366498,"domain_scores_codex":[0.9964658,0.001651736,0.0006688424,0.0003761672,0.0002672031,0.0005702715],"domain_scores_gemma":[0.9978793,0.001035966,0.0003880843,0.0002531655,0.00005598903,0.0003874931],"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":[0.004297906,0.0002437167,0.04373116,0.002060067,0.00006817078,0.0000690341,0.2341908,0.0000105945,0.0002228237,0.003033758,0.6885452,0.02352686],"study_design_scores_gemma":[0.006514626,0.00003228417,0.02055441,0.00006929307,0.00003490277,0.000001395975,0.001497313,0.0007183646,0.000006468796,0.00004649475,0.9703489,0.0001755563],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5655687,0.1930512,0.000008362013,0.07445634,0.003410616,0.002651603,0.00005292395,0.0002596097,0.1605406],"genre_scores_gemma":[0.8969016,0.02717852,0.00010626,0.06942739,0.001307354,0.0002699225,0.00001676977,0.00004580365,0.004746371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3313328,"threshold_uncertainty_score":0.9991487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1311636845479074,"score_gpt":0.440148104917307,"score_spread":0.3089844203693996,"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."}}