{"id":"W4410116267","doi":"10.1021/acssensors.4c03726","title":"All-Inclusive Sensing Tablet with Integrated Passive Mixer for Ultraviscous Solutions","year":2025,"lang":"en","type":"article","venue":"ACS Sensors","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Computer science; Materials science; Process engineering; Nanotechnology; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000674113,0.001325506,0.0007777394,0.0008184669,0.0002658744,0.0008528791,0.001300681,0.001602629,0.004557875],"category_scores_gemma":[0.0008848685,0.0008821653,0.0008495852,0.0004116818,0.0003540915,0.0008330125,0.0007453912,0.001191929,0.002306686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003473397,"about_ca_system_score_gemma":0.000289213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002242726,"about_ca_topic_score_gemma":0.0003955016,"domain_scores_codex":[0.9985561,0.0001594258,0.0001161566,0.00040404,0.0006997683,0.00006440991],"domain_scores_gemma":[0.9996065,0.0001313394,0.0001149317,0.00005576592,0.00006065498,0.00003089666],"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":[0.00008677666,0.0000562524,0.0001222155,0.0003318745,0.00002226442,0.0000605801,0.00004396159,0.000133671,0.9747728,0.0005954936,0.0008555226,0.02291858],"study_design_scores_gemma":[0.00006206733,0.0006346945,0.001463662,0.00003864679,0.00008430794,0.0006561693,0.00002837249,0.006250568,0.9512941,0.0001993704,0.03921836,0.00006987601],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2292341,0.01591948,0.7171708,0.001197785,0.001230875,0.002455942,0.002443352,0.009248876,0.02109875],"genre_scores_gemma":[0.3484244,0.005170876,0.6186109,0.001154801,0.0003611287,0.002826888,0.001556883,0.000432388,0.02146177],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004557875,"threshold_uncertainty_score":0.01524764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007861794105491975,"score_gpt":0.2254757706893428,"score_spread":0.2176139765838508,"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."}}