{"id":"W4244754737","doi":"10.1680/gmat.2014.2.2.53","title":"CO<sub>2</sub>-switchable materials","year":2014,"lang":"en","type":"article","venue":"Green Materials","topic":"Membrane Separation and Gas Transport","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Materials science; Nanotechnology","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":[0.000100805,0.0005083798,0.0002429429,0.0004203402,0.000446077,0.0008082053,0.0003228638,0.000546799,0.00583021],"category_scores_gemma":[0.0002653337,0.0001629536,0.0001401873,0.0003143693,0.000282781,0.0009558544,0.0004330782,0.0006129938,0.001272829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006798144,"about_ca_system_score_gemma":0.0003437967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006986597,"about_ca_topic_score_gemma":0.00206223,"domain_scores_codex":[0.9998268,0.00001279101,0.000006260142,0.00003908364,0.00006601987,0.0000489481],"domain_scores_gemma":[0.999898,0.00002029711,0.00001915184,0.00001480565,0.00002664242,0.00002106291],"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":[0.0002579137,0.00006756141,0.0003375285,0.0003416362,0.00001764432,0.0003091219,0.00005202213,0.0004800318,0.9526143,0.01829886,0.004761733,0.02246164],"study_design_scores_gemma":[0.00001275766,0.00006283411,0.0008785464,0.00001243448,0.00001079625,0.000301422,0.00005339445,0.00216396,0.9644453,0.001619561,0.03042414,0.00001487662],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7466466,0.01076114,0.05732752,0.0035501,0.003046181,0.0002345495,0.001124963,0.002916035,0.1743929],"genre_scores_gemma":[0.9465196,0.001742051,0.0121229,0.0005292791,0.0001547523,0.0001021344,0.000477431,0.000236611,0.03811523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00583021,"threshold_uncertainty_score":0.01950395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00937955940543667,"score_gpt":0.2075123297858919,"score_spread":0.1981327703804552,"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."}}