{"id":"W4322733629","doi":"10.1038/s41390-023-02544-y","title":"“ECI Biocommentary: Marc Beltempo”","year":2023,"lang":"en","type":"article","venue":"Pediatric Research","topic":"Neurology and Historical Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre; Montreal Children's Hospital","funders":"Canadian Institutes of Health Research","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002491284,0.001332237,0.001091552,0.001368918,0.001864088,0.005006169,0.001415702,0.005395148,0.01792083],"category_scores_gemma":[0.0194174,0.0003100862,0.000421164,0.000763373,0.002298432,0.00314313,0.003839211,0.008681491,0.01784637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001539854,"about_ca_system_score_gemma":0.001916066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001633349,"about_ca_topic_score_gemma":0.002592328,"domain_scores_codex":[0.997673,0.0004262753,0.0001499903,0.0006596878,0.0008391578,0.0002518888],"domain_scores_gemma":[0.9938493,0.001468018,0.0005480946,0.0002762151,0.00223304,0.001625378],"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":[0.00001763473,0.000004729552,0.00009427745,0.00006023241,0.000004099727,0.0001271785,0.00005136228,0.00001523399,0.00009679062,0.002676365,0.9841778,0.01267419],"study_design_scores_gemma":[0.000007465268,0.000008054531,0.0003239477,0.000275189,0.000006284132,0.0009944781,0.0001239185,0.00005595849,0.0001830923,0.002142806,0.9958649,0.00001394559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"commentary","genre_scores_codex":[0.0004279614,0.06527047,0.001070509,0.4499199,0.4720098,0.00001556924,0.0001340178,0.0001409758,0.01101081],"genre_scores_gemma":[0.01227774,0.03708117,0.001463547,0.308139,0.5104281,0.00008173902,0.0001781552,0.0003495908,0.1300011],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01792083,"threshold_uncertainty_score":0.05995113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3211814358192194,"score_gpt":0.4408627579389741,"score_spread":0.1196813221197547,"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."}}