{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0002386626,0.00141241,0.002439136,0.0001846699,0.0009819925,0.0002743822,0.002048426,0.0008312724,0.00006984616],"category_scores_gemma":[0.001157237,0.001372971,0.001011621,0.001705051,0.0003900736,0.0007584815,0.0009102956,0.00207342,0.00009994045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000177143,"about_ca_system_score_gemma":0.0002177425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002382437,"about_ca_topic_score_gemma":7.866795e-8,"domain_scores_codex":[0.9935718,0.0002183517,0.001223321,0.002273652,0.001282568,0.00143031],"domain_scores_gemma":[0.9966716,0.0007672217,0.000788316,0.001242717,0.00007110687,0.0004590768],"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":[0.0001713883,0.0007256688,0.000001565423,0.02602095,0.0002207353,0.004735186,0.0002811559,0.0005260861,0.06132891,0.005402683,0.008078705,0.892507],"study_design_scores_gemma":[0.0007573882,0.00007786452,2.904439e-7,0.005902385,0.0001595523,0.0010069,0.000007204883,0.0001943234,0.07012983,0.0002326991,0.9199948,0.001536742],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002191663,0.9850472,0.001642844,0.0000530221,0.008413042,0.001020653,0.00009874738,0.001248702,0.002256592],"genre_scores_gemma":[0.001629355,0.9932254,0.0002499479,0.00009931909,0.003484806,0.0001342789,0.0000743327,0.0002862392,0.0008163255],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9119161,"threshold_uncertainty_score":0.9998626,"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."}}