{"id":"W4389935661","doi":"10.1097/j.pain.0000000000003116","title":"Assessing spontaneous sensory neuron activity using in vivo calcium imaging","year":2023,"lang":"en","type":"article","venue":"Pain","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut Universitaire en Santé Mentale de Québec","funders":"Medical Research Council; Natural Sciences and Engineering Research Council of Canada; UK Research and Innovation","keywords":"Calcium imaging; Sensory system; Neuroscience; In vivo; Calcium; Sensory neuron; Neuron; Chemistry; Psychology; Biology; Biotechnology","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":[],"consensus_categories":[],"category_scores_codex":[0.002441187,0.0001619447,0.0001724104,0.0004650456,0.000326202,0.0001806993,0.0003342183,0.00003842043,0.0000528532],"category_scores_gemma":[0.002708964,0.0001670829,0.00005246913,0.001491693,0.0002292455,0.0005585768,0.000221148,0.0004973777,0.0000884679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000825107,"about_ca_system_score_gemma":0.0001073296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004844237,"about_ca_topic_score_gemma":0.000005378121,"domain_scores_codex":[0.9949676,0.00291865,0.0001739606,0.0007038803,0.0004236442,0.0008122299],"domain_scores_gemma":[0.9970642,0.002499696,0.00005778573,0.0002381797,0.00001524407,0.0001249177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002511366,0.0000491895,0.002619477,0.00001434082,2.498215e-7,0.01650003,0.00006407994,0.0004511039,0.9746554,0.000005857909,0.0001140771,0.005501013],"study_design_scores_gemma":[0.0001649127,0.00001968488,0.001906689,0.00001162635,0.000001896105,0.000443368,0.00004032985,0.3040687,0.6928252,0.00003010687,0.0003550528,0.0001323885],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975029,0.00000411209,0.0003486802,0.0006790527,0.0005051431,0.0002151719,0.000004977728,0.0002272247,0.0005127635],"genre_scores_gemma":[0.9974732,0.00001754776,0.00001123223,0.001876862,0.00007430458,0.00000937311,8.207495e-8,0.00003294616,0.000504436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3036176,"threshold_uncertainty_score":0.6813443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1668031826806434,"score_gpt":0.4236627039311545,"score_spread":0.2568595212505111,"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."}}