{"id":"W2151781534","doi":"10.1038/ncomms3370","title":"A comprehensive multiscale framework for simulating optogenetics in the heart","year":2013,"lang":"en","type":"article","venue":"Nature Communications","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":131,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; National Science Foundation","keywords":"Optogenetics; Computer science; Computational biology; Neuroscience; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000403011,0.0004720103,0.0009978804,0.000470264,0.0007305218,0.001414284,0.001747473,0.00219945,0.0024914],"category_scores_gemma":[0.00159342,0.0006061872,0.000899347,0.0004733498,0.00117549,0.0008993157,0.001650959,0.001173192,0.0002778553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009314318,"about_ca_system_score_gemma":0.001463591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01588743,"about_ca_topic_score_gemma":0.01023694,"domain_scores_codex":[0.9998379,0.0000461128,0.000009916761,0.00002849268,0.00004707403,0.00003052035],"domain_scores_gemma":[0.9996291,0.0001708298,0.00003053646,0.00003673746,0.00005716894,0.00007551297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001342427,0.00002064284,0.000250568,0.00001767959,0.00001808903,0.00004414727,0.00003662339,0.9615213,0.001411704,0.03469195,0.0002859702,0.001687906],"study_design_scores_gemma":[0.000006411534,0.000003334502,0.00004088704,0.000002401335,0.000003156817,0.000005397802,0.000006001978,0.9935833,0.00006456003,0.006040419,0.0002402636,0.000003922773],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08848087,0.0005567623,0.8903459,0.001046253,0.0001481628,0.00006995645,0.0003849882,0.0004905455,0.01847662],"genre_scores_gemma":[0.8439152,0.0005929561,0.1485506,0.000325544,0.0001348428,0.000266091,0.0002549287,0.0003239963,0.005635871],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01588743,"threshold_uncertainty_score":0.03158993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1166775289840821,"score_gpt":0.4273057258853649,"score_spread":0.3106281969012827,"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."}}