{"id":"W4375947414","doi":"10.1016/j.immuni.2023.04.016","title":"Decoding nociceptor-DC dialogues","year":2023,"lang":"en","type":"letter","venue":"Immunity","topic":"Stress Responses and Cortisol","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; Université de Montréal","funders":"Canadian Institutes of Health Research; Vetenskapsrådet; Knut och Alice Wallenbergs Stiftelse; Natural Sciences and Engineering Research Council of Canada; Queen's University; Canada Foundation for Innovation","keywords":"Nociceptor; Chemokine; Immune system; Biology; Calcitonin gene-related peptide; Neuropeptide; Immunology; CCL2; Neuroscience; Cell biology; Receptor; Nociception; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005500247,0.0002947289,0.000323479,0.0001873061,0.0003796784,0.0001664261,0.0009376618,0.0004796597,0.0003646108],"category_scores_gemma":[0.001431356,0.000281797,0.0002112502,0.0003377265,0.0001491679,0.00009881263,0.0003914008,0.002183031,0.002439935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006880422,"about_ca_system_score_gemma":0.00007650813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005859784,"about_ca_topic_score_gemma":0.00003450003,"domain_scores_codex":[0.9977864,0.0005475598,0.000279396,0.000434237,0.0004117794,0.0005406079],"domain_scores_gemma":[0.9972118,0.001713744,0.0001700037,0.0008260748,0.00003143173,0.00004696592],"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":[0.00002575057,0.00001433146,0.00006335328,0.00005425214,0.00001046552,0.0007071191,0.000175877,0.000001052744,0.01950463,0.00001718381,0.9694726,0.009953326],"study_design_scores_gemma":[0.0001488294,0.00006119256,0.0009191798,0.00008978818,0.00002235223,0.00002775098,0.00003044492,0.00002644515,0.02511743,0.0003460431,0.972796,0.0004146016],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.2246432,0.0008897423,0.0001646746,0.7163503,0.01717979,0.001422508,0.00141877,0.003323592,0.03460736],"genre_scores_gemma":[0.0274977,0.0021487,0.00004680196,0.9274346,0.004636129,0.0001366257,0.0002176242,0.0002197507,0.03766207],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2110843,"threshold_uncertainty_score":0.9999634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1253530551019677,"score_gpt":0.3159521167282762,"score_spread":0.1905990616263085,"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."}}