{"id":"W4233180648","doi":"10.1142/9789814343466_0010","title":"ABC Transporters","year":2011,"lang":"en","type":"book-chapter","venue":"WORLD SCIENTIFIC eBooks","topic":"Cell Adhesion Molecules Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Computational biology; Chemistry; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000171311,0.0009823238,0.0007170495,0.0008114761,0.0005256956,0.002269221,0.0006686313,0.001177371,0.06208287],"category_scores_gemma":[0.0002733029,0.0003491236,0.0004431236,0.00121376,0.0004782457,0.001980306,0.0009437851,0.001890888,0.06142129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008277525,"about_ca_system_score_gemma":0.0005817392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00076568,"about_ca_topic_score_gemma":0.001233968,"domain_scores_codex":[0.9998354,0.00001368144,0.00000920982,0.00003767411,0.00008683297,0.00001714069],"domain_scores_gemma":[0.9999533,0.000008305724,0.000003837228,0.000007864197,0.00001974161,0.000006987015],"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":[0.00008592525,0.00006014439,0.00009634163,0.0007668987,0.00001932029,0.0002695217,0.0001594249,0.0003113266,0.03100955,0.1269231,0.293648,0.5466505],"study_design_scores_gemma":[0.000003415461,0.000009265842,0.00005500224,0.00004641376,0.000004701516,0.0001829532,0.00001685532,0.00007493028,0.002581942,0.004542972,0.9924776,0.000004008849],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002796721,0.1132324,0.02194356,0.006247406,0.005338351,0.0001187492,0.001315033,0.001100697,0.8479069],"genre_scores_gemma":[0.005916649,0.03864679,0.004497667,0.001424963,0.0003884665,0.00007216504,0.0008435167,0.0001380505,0.9480717],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06208287,"threshold_uncertainty_score":0.2076879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05919449575584147,"score_gpt":0.276738372318361,"score_spread":0.2175438765625195,"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."}}