{"id":"W2934955158","doi":"10.1016/j.tifs.2019.03.014","title":"Differentiating between tackiness and stickiness and their induction in foods","year":2019,"lang":"en","type":"article","venue":"Trends in Food Science & Technology","topic":"Material Properties and Processing","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Fouling; Clogging; Cohesion (chemistry); Scaling; Economics; Computer science; Mathematics; Physics; Chemistry; Membrane; Geography","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":[0.0005642196,0.0003600084,0.0003903191,0.001000771,0.0002107122,0.0009434067,0.0002281486,0.0004917713,0.00140786],"category_scores_gemma":[0.001496596,0.0002839259,0.0004421947,0.0005390533,0.000340228,0.0005708761,0.000610492,0.001065575,0.0003732448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000295243,"about_ca_system_score_gemma":0.0001777436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003630098,"about_ca_topic_score_gemma":0.0004126266,"domain_scores_codex":[0.9995683,0.00005609283,0.00003104074,0.00009528181,0.0001835337,0.00006573614],"domain_scores_gemma":[0.9987154,0.0003902884,0.0004431432,0.00005519249,0.0002285323,0.0001674364],"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":[0.001577537,0.0002426461,0.051807,0.0003663162,0.00006971972,0.0002440422,0.0003293679,0.0004375131,0.8813038,0.0005405401,0.0002647606,0.06281661],"study_design_scores_gemma":[0.00004784829,0.002940766,0.5045058,0.0001105544,0.0001661546,0.0008995995,0.000725185,0.006912588,0.4790085,0.002094997,0.002502468,0.00008559094],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866257,0.003113414,0.007100141,0.00009227944,0.0001413177,0.00007107061,0.0002294179,0.0000625252,0.002564111],"genre_scores_gemma":[0.9915534,0.001252586,0.004556449,0.00008987021,0.00009268126,0.00006538496,0.0002903878,0.00002711195,0.002072103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00140786,"threshold_uncertainty_score":0.00470978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01929830870755921,"score_gpt":0.2358157817236617,"score_spread":0.2165174730161025,"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."}}