{"id":"W2529229451","doi":"10.1016/j.neuroscience.2016.09.035","title":"Probing pain pathways with light","year":2016,"lang":"en","type":"review","venue":"Neuroscience","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Institut Universitaire en Santé Mentale de Québec","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Fondation Brain Canada","keywords":"Neuroscience; Context (archaeology); Computer science; Sensory system; Stimulus modality; Biological neural network; Brainstem; Psychology; Biology","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"],"consensus_categories":[],"category_scores_codex":[0.000866367,0.0005339211,0.0008427317,0.00035062,0.0004158419,0.0003127688,0.002102143,0.000174215,0.0000759145],"category_scores_gemma":[0.001717976,0.0002978175,0.0002272867,0.001474432,0.000545292,0.0002301335,0.0004103125,0.0005740284,0.00037956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001172664,"about_ca_system_score_gemma":0.0007652289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001122261,"about_ca_topic_score_gemma":8.739275e-7,"domain_scores_codex":[0.994727,0.0009327739,0.0004290655,0.001652425,0.001225713,0.001033007],"domain_scores_gemma":[0.9976516,0.0007427887,0.0002667941,0.0009272287,0.00004855758,0.0003630141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000494474,0.00005939044,0.000002373146,0.0016615,9.488645e-7,0.0001456211,0.00003436646,3.547751e-7,0.03132612,0.0004035845,0.0003860773,0.9659747],"study_design_scores_gemma":[0.00008653913,0.0002686957,5.629736e-7,0.004026416,0.00001381145,0.0001232947,0.0000011053,0.0000212858,0.008934595,0.00003143325,0.9860645,0.0004277475],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002269351,0.9868814,0.0006707226,0.00007107695,0.0008964632,0.00177333,0.0001036291,0.000252716,0.00932798],"genre_scores_gemma":[0.0001956408,0.997381,0.00004332255,0.0003836815,0.0001447381,0.0002499617,0.000001110886,0.00009179306,0.001508707],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9856784,"threshold_uncertainty_score":0.9999474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1435516327077918,"score_gpt":0.3552226995426556,"score_spread":0.2116710668348638,"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."}}