{"id":"W4392414109","doi":"","title":"Characterization of honeybee CaV4/DSC1: a Ca channel with surprising properties","year":2022,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Insect and Pesticide Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut Universitaire en Santé Mentale de Québec","funders":"","keywords":"Channel (broadcasting); Characterization (materials science); Biological system; Zoology; Biology; Computer science; Physics; Telecommunications; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001494219,0.0001991034,0.000163288,0.0001540785,0.0001999784,0.0003601273,0.0003008007,0.0004086677,0.001698425],"category_scores_gemma":[0.0003821272,0.00007569608,0.0001634304,0.0001177256,0.0002585317,0.0003383863,0.000149152,0.0005388057,0.0004405643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003194158,"about_ca_system_score_gemma":0.0002172563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006370449,"about_ca_topic_score_gemma":0.0006884221,"domain_scores_codex":[0.9999403,0.000004393505,0.000005702528,0.00002015508,0.00001837871,0.00001110951],"domain_scores_gemma":[0.9998196,0.00004910156,0.00004161457,0.00002314652,0.0000324867,0.0000340921],"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":[0.00004410207,0.000005162493,0.0002099991,0.00001688004,0.000002172692,0.00005960288,0.00001053959,0.00004485943,0.9987462,0.00007700823,0.00006087055,0.0007226652],"study_design_scores_gemma":[0.00002779341,0.0001273469,0.01147444,0.000009426519,0.00002634667,0.001119798,0.00009465349,0.002713276,0.9770864,0.0002491306,0.00706039,0.00001100537],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939373,0.0008659391,0.003081967,0.0003591426,0.00005126069,0.00002449589,0.0005479536,0.00006360772,0.001068291],"genre_scores_gemma":[0.9902638,0.0005719748,0.003897021,0.0001498977,0.00002491288,0.00002750956,0.001513237,0.00004925413,0.003502349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001698425,"threshold_uncertainty_score":0.005681813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02125087632168815,"score_gpt":0.1984747585330439,"score_spread":0.1772238822113557,"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."}}