{"id":"W2056415095","doi":"10.4161/chan.2.5.7196","title":"Fashioning a Cl<sup>-</sup>channel from a transporter: Just a nip here and a tuck there","year":2008,"lang":"en","type":"article","venue":"Channels","topic":"Socioeconomic Development in MENA","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Channel (broadcasting); Transporter; NIP; Chemistry; Computer science; Biochemistry; Telecommunications; Gene","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":[0.0007270774,0.0003499533,0.0001810072,0.0002460543,0.00233994,0.002528752,0.0003541521,0.00145655,0.01487752],"category_scores_gemma":[0.001060209,0.0001841377,0.0002991719,0.0004247113,0.00299821,0.003779672,0.001201098,0.001984655,0.003563284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001457627,"about_ca_system_score_gemma":0.002089663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008047636,"about_ca_topic_score_gemma":0.03937594,"domain_scores_codex":[0.9996524,0.00009576529,0.00001888408,0.00005625881,0.0001127584,0.00006404158],"domain_scores_gemma":[0.9997336,0.0000626517,0.00005520357,0.0000186586,0.00006418254,0.00006561234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001494818,0.00007680308,0.004544932,0.0004206046,0.00001899917,0.0003697008,0.006874162,0.0001355653,0.005079581,0.2500579,0.6176895,0.1145828],"study_design_scores_gemma":[0.00001819336,0.00008529959,0.009442362,0.0003006511,0.00002274947,0.0006284108,0.0100824,0.0003388374,0.006779693,0.03659247,0.9356508,0.00005814963],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08463921,0.04625293,0.006261682,0.4693827,0.01391875,0.00006157544,0.0008160661,0.0003442942,0.3783228],"genre_scores_gemma":[0.3821667,0.06209108,0.01182726,0.08752731,0.002173991,0.00008810858,0.0005274469,0.0001823161,0.4534157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01487752,"threshold_uncertainty_score":0.0497703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05302950423911267,"score_gpt":0.2747334436657369,"score_spread":0.2217039394266242,"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."}}