{"id":"W4393723209","doi":"10.5281/zenodo.4139735","title":"Dataset associated to Bioinspired electro-permeable glycans on carbon: Fouling control for sensing in complex matrices","year":2019,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"Science Foundation Ireland; European Commission","keywords":"Fouling; Glycan; Carbon fibers; Control (management); Chemical engineering; Chemistry; Computer science; Engineering; Artificial intelligence; Membrane; Algorithm; Biochemistry","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":[0.001250236,0.003112483,0.002442006,0.004196579,0.001338394,0.00320802,0.003542946,0.004334473,0.04712799],"category_scores_gemma":[0.006781149,0.000561158,0.002106523,0.006131123,0.0005637973,0.001608985,0.002312008,0.002184828,0.04618163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002019,"about_ca_system_score_gemma":0.003290611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01126461,"about_ca_topic_score_gemma":0.02302473,"domain_scores_codex":[0.9983391,0.000211281,0.0002416898,0.0005380739,0.0004696007,0.0002001976],"domain_scores_gemma":[0.9976916,0.00105604,0.0002349915,0.000357798,0.000469265,0.0001902596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004728549,0.0001633758,0.003343657,0.0109279,0.0002567973,0.0002069546,0.00006934266,0.002380809,0.002347411,0.001637704,0.9652043,0.01298878],"study_design_scores_gemma":[0.0003672805,0.00006928616,0.005098416,0.001172305,0.0001391446,0.000167897,0.00008740877,0.001535327,0.002022526,0.002210437,0.9870635,0.00006656891],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003518707,0.000425173,0.0001434356,0.00008311022,0.00004024228,0.00002340561,0.997905,0.0003452295,0.000682478],"genre_scores_gemma":[0.0004696084,0.000188462,0.0004208766,0.000059374,0.000004426317,0.00007754753,0.9984221,0.00003812332,0.0003195014],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04712799,"threshold_uncertainty_score":0.1576588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05330583011355967,"score_gpt":0.2924176437693998,"score_spread":0.2391118136558402,"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."}}