{"id":"W2768721195","doi":"10.2174/1385272819666140201002503","title":"Biologically Active Synthetic Anionophores","year":2014,"lang":"en","type":"article","venue":"Current Organic Chemistry","topic":"Molecular Sensors and Ion Detection","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Chemistry; Biological activity; Ion channel; Transmembrane protein; Transmembrane channels; Cancer cell; Biophysics; Computational biology; Combinatorial chemistry; Biochemistry; Nanotechnology; Cancer; In vitro; Biology; Receptor","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":[0.0002093026,0.0004255731,0.0002002067,0.0002512922,0.0001841261,0.0003314082,0.0003547145,0.0007358126,0.003527724],"category_scores_gemma":[0.0002714598,0.0001364034,0.0001906457,0.0001831894,0.0002445968,0.0006996488,0.000407965,0.0005704467,0.001315475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002281275,"about_ca_system_score_gemma":0.0001933919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001155528,"about_ca_topic_score_gemma":0.0001873621,"domain_scores_codex":[0.9998512,0.00003676577,0.0000121921,0.0000365809,0.00003850088,0.00002475702],"domain_scores_gemma":[0.9999151,0.00002374322,0.00002558973,0.000005590352,0.00001646841,0.00001347692],"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":[0.0001344245,0.00005457188,0.00008383867,0.0009805964,0.00001252561,0.0001972257,0.00005605077,0.0005287566,0.972621,0.00852259,0.001194687,0.01561385],"study_design_scores_gemma":[0.0000384851,0.0004068744,0.0001996098,0.00004484135,0.00001663435,0.0004582991,0.00004765686,0.0006684356,0.9124948,0.001034687,0.08456752,0.00002213238],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6415612,0.08291548,0.1603543,0.003599786,0.002268013,0.0007532921,0.003657718,0.001615132,0.1032751],"genre_scores_gemma":[0.8915187,0.02997263,0.05112632,0.00114568,0.0002604317,0.0005468908,0.00121461,0.000133891,0.02408084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003527724,"threshold_uncertainty_score":0.01180142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009100537216148447,"score_gpt":0.2205194660256187,"score_spread":0.2114189288094702,"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."}}