{"id":"W4213237397","doi":"10.1038/s41390-022-01976-2","title":"ECI Biocommentary: Brian T. Kalish","year":2022,"lang":"en","type":"article","venue":"Pediatric Research","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002095441,0.0009799877,0.001239494,0.001944514,0.00149154,0.004395061,0.001836767,0.002540559,0.6620723],"category_scores_gemma":[0.01205056,0.0004412371,0.0005250098,0.001071182,0.0007882036,0.001582247,0.003156562,0.002817541,0.4624592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001546783,"about_ca_system_score_gemma":0.003218143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006229644,"about_ca_topic_score_gemma":0.01098813,"domain_scores_codex":[0.9979811,0.0002182231,0.00009340537,0.0004823174,0.000985874,0.000239035],"domain_scores_gemma":[0.9874486,0.001237413,0.0005931953,0.0005925756,0.005699238,0.004429045],"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":[0.00006382689,0.00002752251,0.0003110661,0.00008735723,0.000005676234,0.0001301219,0.00005276469,0.00003427957,0.0002931029,0.0009600077,0.9300134,0.06802081],"study_design_scores_gemma":[0.00001004124,0.00001799981,0.000586172,0.0000797918,0.000004267822,0.0002887629,0.0001087562,0.00006709449,0.0001904139,0.0004370841,0.9982017,0.000007864637],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.00227021,0.02679135,0.004510124,0.2004433,0.1120061,0.0003541245,0.005600019,0.005256697,0.6427681],"genre_scores_gemma":[0.004736267,0.005295831,0.001144659,0.01224423,0.005235346,0.00009018953,0.0009867479,0.0007326831,0.9695341],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.6620723,"threshold_uncertainty_score":0.4820128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04322983279942258,"score_gpt":0.3510432306924574,"score_spread":0.3078133978930347,"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."}}