{"id":"W2429162459","doi":"10.1038/ncomms11866","title":"A CD36 ectodomain mediates insect pheromone detection via a putative tunnelling mechanism","year":2016,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neurobiology and Insect Physiology Research","field":"Neuroscience","cited_by":145,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Fundación para el Fomento en Asturias de la Investigación Científica Aplicada y la Tecnología; Canadian Institutes of Health Research; Université de Lausanne; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Ectodomain; Mechanism (biology); Pheromone; Insect; Biology; Cell biology; Genetics; Ecology; Physics; Receptor","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":[0.0001081563,0.0001855386,0.0001535861,0.00008853606,0.000220197,0.0002654428,0.0001834094,0.0002626968,0.0009372861],"category_scores_gemma":[0.0001319768,0.0000903804,0.0002089869,0.00006680999,0.0002110796,0.0002521562,0.0002689837,0.0002452485,0.0003868726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004013079,"about_ca_system_score_gemma":0.0001644267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003923734,"about_ca_topic_score_gemma":0.0003107506,"domain_scores_codex":[0.9999461,0.000009262918,0.000003991507,0.00001250262,0.00001286597,0.00001529425],"domain_scores_gemma":[0.999926,0.00001257685,0.00001698703,0.000006212817,0.000008593644,0.0000295995],"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":[0.0002484039,0.00001727486,0.0006683132,0.00006341435,0.000004481041,0.0003517703,0.00003858774,0.0003855276,0.9951355,0.001025017,0.00007895687,0.001982802],"study_design_scores_gemma":[0.00008819149,0.0002846758,0.0118544,0.0000210472,0.00002157474,0.001853606,0.0001156603,0.01505904,0.9637899,0.000782983,0.006106619,0.00002221179],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956307,0.0005143333,0.002825517,0.00007679751,0.00001069327,0.0000103592,0.0000634488,0.00006312687,0.0008049244],"genre_scores_gemma":[0.9971653,0.0002045621,0.001700539,0.00002232085,0.00000292134,0.000004595291,0.00009581652,0.000002973665,0.000800934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009372861,"threshold_uncertainty_score":0.003135502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04817696733673563,"score_gpt":0.3236945830196363,"score_spread":0.2755176156829007,"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."}}