{"id":"W2952749681","doi":"10.1101/252205","title":"A compact head-mounted endoscope for in vivo calcium imaging in freely-behaving mice","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; Hospital for Sick Children; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of California, San Francisco; Canadian Institutes of Health Research; Hospital for Sick Children","keywords":"Calcium imaging; Computer science; Neuroscience; Microscope; Calcium; Biomedical engineering; Artificial intelligence; Biology; Materials science; Physics; Optics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004761116,0.0006147057,0.000313915,0.0005889194,0.0002778314,0.0002826721,0.0008470515,0.0005694393,0.002654576],"category_scores_gemma":[0.000221653,0.0004750791,0.0006570619,0.0001572253,0.000352818,0.000431798,0.0006397692,0.0008147722,0.0007490126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003942528,"about_ca_system_score_gemma":0.0007695532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001388923,"about_ca_topic_score_gemma":0.003115518,"domain_scores_codex":[0.9998062,0.00001589994,0.00001754047,0.00007334261,0.00005382881,0.00003311095],"domain_scores_gemma":[0.9995819,0.00006571341,0.00009979491,0.00009619247,0.00004681649,0.0001096697],"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":[0.00004576101,0.0000160473,0.0002018422,0.00002630772,0.000005344733,0.00007240268,0.00001191945,0.00009647343,0.9959501,0.0001661357,0.0001705995,0.003237112],"study_design_scores_gemma":[0.00007938493,0.0008717644,0.01011756,0.00004133045,0.00004760528,0.001091339,0.00002795812,0.005739813,0.968595,0.0001739686,0.01317118,0.00004308726],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4952041,0.0008491945,0.4903885,0.000495151,0.0001833732,0.001299036,0.003631243,0.004434249,0.003515298],"genre_scores_gemma":[0.2609007,0.0005953759,0.7285432,0.0002032789,0.00003075874,0.001084648,0.00144075,0.0004250894,0.006776216],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002654576,"threshold_uncertainty_score":0.008880436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03139871534035694,"score_gpt":0.2882109492011135,"score_spread":0.2568122338607565,"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."}}