{"id":"W4411852501","doi":"10.1055/s-0045-1809705","title":"Indar Kumar Dhawan: A Versatile Master Surgeon and a Gentleman","year":2025,"lang":"en","type":"article","venue":"Indian Journal of Plastic Surgery","topic":"Cleft Lip and Palate Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"York University","keywords":"Medicine; General surgery","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005888997,0.0001072326,0.000220114,0.0002907475,0.00005817491,0.00004345555,0.0000963665,0.0001102832,0.00009060988],"category_scores_gemma":[0.0007319037,0.00009448129,0.0001538442,0.0001345568,0.00008189821,0.00000650577,0.00006192319,0.0001652768,0.00000604479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001442014,"about_ca_system_score_gemma":0.000363122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007177805,"about_ca_topic_score_gemma":0.00001166253,"domain_scores_codex":[0.9990333,0.00009321652,0.000331484,0.0001372889,0.0001711751,0.0002335025],"domain_scores_gemma":[0.9989474,0.0005473577,0.0001311937,0.0001233043,0.0001100371,0.0001407215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004939662,0.00007971968,0.9338283,0.0001375538,0.0004109369,0.0004317053,0.0001824392,0.00002206142,0.02634553,0.00001865383,0.02592346,0.01212567],"study_design_scores_gemma":[0.00196277,0.0004823133,0.7906154,0.0007978901,0.0001317302,0.0007542921,0.0007971858,0.00004840989,0.01933481,0.0002384612,0.1843028,0.0005338976],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997869,0.0006205853,0.0002003024,0.0001628852,0.0007678891,0.00004059437,0.00001458964,0.000001907034,0.0003222126],"genre_scores_gemma":[0.9990828,0.0003125009,0.00002733224,0.00008359733,0.0002159156,0.000001328395,0.00001019753,0.000009759692,0.0002565831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1583794,"threshold_uncertainty_score":0.3852835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01568083195906893,"score_gpt":0.2553154369583234,"score_spread":0.2396346049992544,"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."}}