{"id":"W2210358626","doi":"10.1007/978-1-4939-1969-7_1","title":"Techniques for Large-Scale Multiunit Recording","year":2014,"lang":"en","type":"book-chapter","venue":"Springer series in computational neuroscience","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Optogenetics; Microelectrode; Electrophysiology; Neuroscience; Multielectrode array; Neuroprosthetics; Computer science; Nanotechnology; Electrode; Materials science; Biology; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000494035,0.0003512035,0.0003517012,0.0004713118,0.0003688625,0.0001861346,0.0009450097,0.0001846647,0.0001035074],"category_scores_gemma":[0.0006838295,0.000380289,0.0001401072,0.0001838637,0.0004362592,0.0002097961,0.0004679389,0.0004892728,0.00004249538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001094858,"about_ca_system_score_gemma":0.0001681318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002779889,"about_ca_topic_score_gemma":0.00001625619,"domain_scores_codex":[0.9969836,0.00005594618,0.0004633509,0.001117183,0.0007959646,0.0005839842],"domain_scores_gemma":[0.9984939,0.0006525043,0.0001977644,0.0003584639,0.0001524861,0.0001448774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003736719,0.0001896407,0.0005041219,0.0004340992,0.000005017897,0.00007689864,0.0005460288,0.006496876,0.2545281,0.7133284,0.001714578,0.02180262],"study_design_scores_gemma":[0.0004600309,0.0004669294,0.000224065,0.0002326501,0.00000717611,0.00004846564,0.00001024025,0.03630216,0.1277336,0.07090602,0.762688,0.0009206947],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0199029,0.0002111923,0.4352582,0.003269874,0.0129202,0.01073808,0.002322821,0.001900253,0.5134766],"genre_scores_gemma":[0.5730675,0.0007604837,0.07526625,0.00510835,0.001204328,0.0006526433,0.00007861479,0.0004936532,0.3433681],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7609734,"threshold_uncertainty_score":0.9998649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05531310514522134,"score_gpt":0.3241606042802727,"score_spread":0.2688474991350513,"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."}}