{"id":"W4230637311","doi":"10.1515/iupac.73.0529","title":"Plasma Membrane","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Table (database); Commission; Product (mathematics); Chemistry; Food science; Biochemistry; Organic chemistry; Polymer science; Computer science; Political science; Mathematics; Law; Data mining","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":[0.0007705857,0.002040016,0.001601206,0.003347591,0.00102473,0.003110089,0.002509219,0.002587296,0.0604371],"category_scores_gemma":[0.005280627,0.0006479254,0.001671793,0.006791961,0.000360638,0.001729077,0.002105958,0.00167858,0.1148363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001676166,"about_ca_system_score_gemma":0.002747993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01488768,"about_ca_topic_score_gemma":0.0215842,"domain_scores_codex":[0.9987867,0.0001177745,0.0001599547,0.0004528054,0.0002881971,0.0001945011],"domain_scores_gemma":[0.9980795,0.0004363524,0.0003700063,0.0004565561,0.0005117157,0.0001458255],"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":[0.0003243742,0.00003365865,0.004637437,0.004003366,0.000122236,0.0001216761,0.0000481942,0.0005948197,0.000720233,0.001299007,0.9755024,0.01259258],"study_design_scores_gemma":[0.0001561763,0.00002491048,0.009002133,0.001095827,0.0001137776,0.0002201706,0.00007078464,0.0003492279,0.0008375333,0.002184979,0.9859149,0.00002956345],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002291784,0.0003973258,0.0001117466,0.00007714223,0.00002526121,0.00000993818,0.9977865,0.0002004391,0.001162465],"genre_scores_gemma":[0.000812601,0.0003598199,0.0002776842,0.00008744156,0.000007919793,0.00004921689,0.9976109,0.00003588451,0.0007585851],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0604371,"threshold_uncertainty_score":0.2021822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01329285214713461,"score_gpt":0.3556291403428135,"score_spread":0.3423362881956789,"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."}}