{"id":"W2330357402","doi":"10.1021/la2050493","title":"Microgel Adhesives for Wet Cellulose: Measurements and Modeling","year":2012,"lang":"en","type":"article","venue":"Langmuir","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Adhesive; Cellulose; Adsorption; Adhesion; Materials science; Chemical engineering; Polymer chemistry; Covalent bond; Grafting; Polymer; Composite material; Chemistry; Layer (electronics); Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003813517,0.0001062858,0.0001448922,0.00003305485,0.0001672675,0.00002870027,0.0001015901,0.0000334152,0.00003801685],"category_scores_gemma":[0.00009005463,0.00008679118,0.00002989242,0.00004294637,0.00005758182,0.0002202403,0.0001030982,0.00004268079,0.00006455215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000311215,"about_ca_system_score_gemma":0.000009712297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001378303,"about_ca_topic_score_gemma":0.000003166562,"domain_scores_codex":[0.9990173,0.00003249411,0.0001200706,0.0001756606,0.000191606,0.0004628679],"domain_scores_gemma":[0.9996316,0.00006041232,0.00003444154,0.0001121505,0.00006815885,0.00009322845],"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":[0.00002361645,0.00003445832,0.001162048,0.00009187361,0.00001143035,5.077704e-7,0.0006679476,0.00001683057,0.996441,0.0004609424,0.0006148656,0.0004744607],"study_design_scores_gemma":[0.0005725051,0.000041458,0.0004467671,0.00002729823,0.00002224861,0.000004387851,0.0004391687,0.001220725,0.9877899,0.001237122,0.007965576,0.000232828],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767488,0.006189014,0.01545735,0.0001776472,0.0001640069,0.0003100826,0.00003028445,0.00006895523,0.0008539016],"genre_scores_gemma":[0.9898688,0.00004951667,0.009191912,0.00005403584,0.0002038682,0.00006855477,0.000005656096,0.00001730598,0.0005403711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01312002,"threshold_uncertainty_score":0.3539242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.116738579174534,"score_gpt":0.341797877650411,"score_spread":0.225059298475877,"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."}}