{"id":"W3199461186","doi":"10.14288/1.0402151","title":"Development of novel molecularly imprinting chemosensors for the detection of chemical hazards in foods","year":2021,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Imprinting (psychology); Molecular imprinting; Risk analysis (engineering); Business; Chemistry; Biology; Genetics; Gene; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004893664,0.00003441246,0.0001883596,0.00002239061,0.00002834201,0.000006860559,0.0001726286,0.0001069597,0.000002862642],"category_scores_gemma":[0.0001078755,0.00009916019,0.00007380501,0.0002618977,0.0001111179,0.0000591686,0.00008925366,0.0001111349,1.388881e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007970553,"about_ca_system_score_gemma":0.0000161906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005821821,"about_ca_topic_score_gemma":0.006353433,"domain_scores_codex":[0.9994436,0.000003063841,0.0001544105,0.0001461509,0.0001103663,0.0001424091],"domain_scores_gemma":[0.9995875,0.00005962413,0.00006310177,0.0001539877,0.0001175523,0.00001824088],"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":[0.000002468425,0.00002632971,0.0001093615,0.0001097293,0.00002358309,0.000002734031,0.00006820097,0.0002484042,0.7123939,6.698913e-7,0.000001671307,0.2870129],"study_design_scores_gemma":[0.0008147726,0.000009973566,0.08599886,0.0001209196,0.000017702,0.00001328076,0.001605691,0.006987786,0.9041662,0.00007315265,0.00006316147,0.000128553],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9481649,0.0001142556,0.05144658,0.000009709557,0.00002836797,0.0001094734,0.00001767864,0.00005982986,0.00004922542],"genre_scores_gemma":[0.9687063,0.00002151378,0.03124528,0.000001466611,0.000003455924,9.470016e-7,0.000002646504,0.00001095109,0.000007434706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2868843,"threshold_uncertainty_score":0.4043635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009114107109078654,"score_gpt":0.1770780576862636,"score_spread":0.167963950577185,"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."}}