{"id":"W4394766959","doi":"10.1101/pdb.prot108130","title":"Electrophysiological Recording from a “Model” Cell","year":2024,"lang":"en","type":"article","venue":"Cold Spring Harbor Protocols","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Engineers Without Borders Canada; University of Toronto","funders":"","keywords":"Electrophysiology; Neuroscience; Computer science; Psychology","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":[0.0004522305,0.0003732478,0.0005134962,0.000219332,0.0004976238,0.0008246704,0.001415218,0.001126525,0.006644499],"category_scores_gemma":[0.0004977581,0.0002347013,0.0005009336,0.0002800363,0.0005078851,0.0007996289,0.0004730034,0.001044552,0.003483128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003371774,"about_ca_system_score_gemma":0.0004251139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004126128,"about_ca_topic_score_gemma":0.0008661539,"domain_scores_codex":[0.9995609,0.0000313489,0.00005091768,0.0002085096,0.0001095475,0.00003889798],"domain_scores_gemma":[0.9996997,0.00005871614,0.00001622408,0.0001254868,0.00006362711,0.00003623224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007544472,0.00007157473,0.0003287314,0.0001551405,0.00001729529,0.0003729266,0.0000609772,0.0004375507,0.9806507,0.003174933,0.002419982,0.01223477],"study_design_scores_gemma":[0.00007990395,0.0007427605,0.004453706,0.00008868481,0.0001212821,0.002576345,0.0001309697,0.01631267,0.9110849,0.002855372,0.06150971,0.00004355411],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2070251,0.0009780971,0.7437001,0.0008471984,0.0009971068,0.001193541,0.004825233,0.004037016,0.03639665],"genre_scores_gemma":[0.4847923,0.00166847,0.4782867,0.001404673,0.0002585178,0.001510732,0.004339545,0.000443881,0.02729526],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006644499,"threshold_uncertainty_score":0.022228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04798129079077289,"score_gpt":0.2908101215503822,"score_spread":0.2428288307596093,"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."}}