{"id":"W2159916941","doi":"10.2174/138620708785204117","title":"Ion Channel Screening","year":2008,"lang":"en","type":"review","venue":"Combinatorial Chemistry & High Throughput Screening","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's Health Research Institute","funders":"","keywords":"Ion channel; Drug discovery; High-throughput screening; Ligand-gated ion channel; Electrophysiology; Nanotechnology; Throughput; Chemistry; Computer science; Biophysics; Biology; Materials science; Receptor; Neuroscience; Biochemistry; Telecommunications","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":[0.0007758,0.001165204,0.001659316,0.001889672,0.0005491043,0.0009352294,0.001673761,0.0009478407,0.01283992],"category_scores_gemma":[0.0007504377,0.0002529805,0.0008798413,0.001256319,0.0003742449,0.0007214408,0.0008495735,0.000846027,0.01672476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004486172,"about_ca_system_score_gemma":0.0006404845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006553046,"about_ca_topic_score_gemma":0.0009400334,"domain_scores_codex":[0.9992772,0.00008532138,0.00004100657,0.0001493352,0.0003603353,0.00008686606],"domain_scores_gemma":[0.9997656,0.00004755953,0.00002001832,0.0000236331,0.0001217341,0.00002147142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002897895,0.0003405906,0.0007273049,0.005617996,0.000110473,0.001148513,0.0001207672,0.001378482,0.2429862,0.009405196,0.07088969,0.666985],"study_design_scores_gemma":[0.00009450466,0.0006439313,0.00151683,0.0005945128,0.0001103421,0.003326459,0.0001153786,0.00133626,0.1998166,0.003034994,0.7893481,0.00006215571],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03866198,0.4084514,0.1989765,0.002627499,0.003142916,0.005436415,0.01097666,0.005456935,0.3262697],"genre_scores_gemma":[0.1475404,0.4926306,0.1120695,0.004426017,0.0008366615,0.002923565,0.01746867,0.000521982,0.2215827],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01283992,"threshold_uncertainty_score":0.04295379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08673336489063023,"score_gpt":0.3113859591768897,"score_spread":0.2246525942862594,"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."}}