{"id":"W2887557464","doi":"10.1007/s10971-018-4762-3","title":"Optimizing piezoelectric inkjet printing of silica sols for biosensor production","year":2018,"lang":"en","type":"article","venue":"Journal of Sol-Gel Science and Technology","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Clogging; Nozzle; Deposition (geology); Microfluidics; Nanotechnology; Biosensor; Piezoelectricity; Composite material; Mechanical engineering; 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":[0.0004167779,0.0004920325,0.0003368656,0.0003668511,0.0002555475,0.0007800377,0.0004901651,0.0004765525,0.001003708],"category_scores_gemma":[0.0007635891,0.000437461,0.0004023607,0.0004220387,0.0002411213,0.0005265225,0.0003945122,0.0004762723,0.000661404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000462438,"about_ca_system_score_gemma":0.0003579683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004370631,"about_ca_topic_score_gemma":0.001788435,"domain_scores_codex":[0.9995246,0.00003613922,0.00006119709,0.00008770936,0.000234758,0.00005561875],"domain_scores_gemma":[0.9997063,0.0001167307,0.00005981286,0.00003573578,0.00006452877,0.00001684989],"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":[0.00001644666,0.00001669357,0.00007275969,0.0000486051,0.000004287665,0.0000308009,0.00001367876,0.0004192051,0.9965989,0.00006147747,0.0000382751,0.002678942],"study_design_scores_gemma":[0.000004278143,0.00003647881,0.0002508906,0.000002361764,0.000006384703,0.00002312317,0.00001026704,0.002013698,0.9971684,0.00002543347,0.0004554586,0.000003259961],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9493992,0.001831325,0.04003588,0.0002177559,0.0001631051,0.0001271127,0.0002689026,0.0005504484,0.007406288],"genre_scores_gemma":[0.9498582,0.001179679,0.04572106,0.00004954035,0.00002914483,0.00006132452,0.0002063849,0.0001382138,0.002756526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001003708,"threshold_uncertainty_score":0.003357768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0100369400048276,"score_gpt":0.2354519723017945,"score_spread":0.2254150322969669,"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."}}