{"id":"W3109381849","doi":"10.1002/mbo3.1139","title":"A <i>Pichia</i> biosensor for high‐throughput analyses of compounds that can influence mosquito behavior","year":2020,"lang":"en","type":"article","venue":"MicrobiologyOpen","topic":"Neurobiology and Insect Physiology Research","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Western University","keywords":"Pichia pastoris; Biosensor; Calcium; Cell biology; Biochemistry; Receptor; Chemistry; Calcium imaging; Olfactory receptor; Biophysics; Olfaction; Biology; Recombinant DNA; Gene","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":[0.0004863228,0.001050686,0.001015771,0.0005468756,0.0003291834,0.0006808888,0.0009657477,0.001199487,0.0017732],"category_scores_gemma":[0.0004817962,0.0004102963,0.0005847143,0.0006770532,0.0002887944,0.0005439013,0.0003372481,0.001238536,0.001439693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005254032,"about_ca_system_score_gemma":0.0002976643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006951099,"about_ca_topic_score_gemma":0.001042764,"domain_scores_codex":[0.9993462,0.0001135894,0.00004853147,0.0001468937,0.0002816134,0.00006319871],"domain_scores_gemma":[0.9997774,0.00007132572,0.00004672073,0.00003220303,0.00004984507,0.00002258974],"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":[0.00005045142,0.00002386128,0.0001297996,0.000175872,0.00001692629,0.00003851965,0.000010724,0.0001356059,0.9940186,0.0002463454,0.001136609,0.004016684],"study_design_scores_gemma":[0.0000163376,0.0001981419,0.001414514,0.00002177102,0.00003691263,0.0002897763,0.00001515414,0.006365189,0.9814987,0.0001598558,0.009958317,0.00002543861],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4010333,0.0175704,0.5226814,0.002713668,0.001465858,0.0007605442,0.01376014,0.02315778,0.01685696],"genre_scores_gemma":[0.6624272,0.01127215,0.3030227,0.001426319,0.0002416704,0.002277923,0.008439533,0.0004408987,0.01045154],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0017732,"threshold_uncertainty_score":0.005931973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1398806884695465,"score_gpt":0.3683838569960072,"score_spread":0.2285031685264607,"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."}}