{"id":"W4212928243","doi":"10.3389/fnins.2010.00183","title":"Sleepy Genes","year":2010,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Canadian Sleep & Circadian Network","funders":"","keywords":"Biology; Computational biology; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.001383596,0.001205484,0.000829894,0.00103545,0.001138816,0.001469805,0.001908956,0.01043052,0.0355186],"category_scores_gemma":[0.003972919,0.0004279683,0.001111495,0.0005849919,0.001168693,0.00127583,0.001033159,0.01008823,0.01610715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001497024,"about_ca_system_score_gemma":0.001559286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005905714,"about_ca_topic_score_gemma":0.00979619,"domain_scores_codex":[0.9994548,0.00006713452,0.00004589713,0.0001371792,0.0002266008,0.00006842756],"domain_scores_gemma":[0.9976525,0.0008714438,0.0001294819,0.0001061068,0.0008456116,0.0003949195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000416942,0.0000103505,0.00007103457,0.0001323849,0.00000749093,0.0001456623,0.00002284336,0.00003381891,0.0007261986,0.001363403,0.9901237,0.007321407],"study_design_scores_gemma":[0.00003393266,0.00003185715,0.0007822317,0.0001703659,0.00002215163,0.0001690194,0.00004227348,0.00006784737,0.0005810664,0.002162317,0.9959195,0.00001736292],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.0007199952,0.01928484,0.000827098,0.4641961,0.4899541,0.00008283945,0.001653989,0.0002963514,0.02298464],"genre_scores_gemma":[0.006079465,0.02040206,0.0008694524,0.345901,0.450211,0.0001381153,0.001001461,0.0001644358,0.1752329],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0355186,"threshold_uncertainty_score":0.1188216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03034523473475646,"score_gpt":0.3009810054469665,"score_spread":0.2706357707122101,"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."}}