{"id":"W4211029191","doi":"10.1017/9781108421706.183","title":"Langenbeck, Conrad Johann Martin (1776–1851)","year":2019,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Medical History and Innovations","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Art; Art history; History","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":[0.0004337917,0.0008729171,0.0005251804,0.00203722,0.002189186,0.002858984,0.0005621068,0.001634666,0.05148546],"category_scores_gemma":[0.001193885,0.0004140697,0.0001971743,0.002623485,0.002008078,0.003307346,0.00195819,0.00160365,0.01422901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003600765,"about_ca_system_score_gemma":0.002276806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02006114,"about_ca_topic_score_gemma":0.06859138,"domain_scores_codex":[0.9996293,0.00007351714,0.00001945235,0.00009335303,0.0001169133,0.00006757349],"domain_scores_gemma":[0.9998717,0.00004311744,0.0000186318,0.00001267759,0.00003708486,0.00001679257],"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":[0.00008487877,0.00002729513,0.0002502332,0.0004920751,0.000009135681,0.0002732017,0.004301669,0.0001957763,0.000318336,0.2179223,0.6066708,0.1694544],"study_design_scores_gemma":[9.919415e-7,0.000001841284,0.0001545151,0.0001499195,0.000001087431,0.00005048516,0.0001280417,0.000003267863,0.00004321347,0.002383668,0.9970805,0.000002429823],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002415596,0.3906564,0.0008604559,0.009620239,0.01056666,0.00003303358,0.000881461,0.00006515913,0.5849011],"genre_scores_gemma":[0.02598121,0.09423887,0.0005399754,0.001612521,0.001336843,0.0000474248,0.000345647,0.0001284046,0.875769],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05148546,"threshold_uncertainty_score":0.172236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0464889027833006,"score_gpt":0.1866765372034582,"score_spread":0.1401876344201576,"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."}}