{"id":"W6930918411","doi":"10.5281/zenodo.14588665","title":"Hemerobius humulinus Linnaeus 1758","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Barrier Structure and Function Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Type (biology); Kingdom; Type species; Khasi","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001551678,0.0007871144,0.0003371233,0.002047865,0.00247806,0.0003972468,0.0005092514,0.0005554497,0.02384382],"category_scores_gemma":[0.0002994793,0.0002286631,0.0001180326,0.0007107842,0.0007106375,0.0009106637,0.001084952,0.0004254141,0.0123564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001149258,"about_ca_system_score_gemma":0.0004304775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02900438,"about_ca_topic_score_gemma":0.08167302,"domain_scores_codex":[0.999777,0.00002795601,0.00001123532,0.00006432748,0.00007339567,0.00004606745],"domain_scores_gemma":[0.9998522,0.00001637211,0.00004839411,0.00001204666,0.00005373891,0.00001720999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004572352,0.00009594546,0.03548069,0.0006912943,0.00006513035,0.001855821,0.003418014,0.0005571396,0.02380028,0.005276822,0.06543402,0.8628676],"study_design_scores_gemma":[0.00003455113,0.0001213892,0.1196213,0.0005425342,0.00004838336,0.002570553,0.001548875,0.0002491067,0.003874525,0.00105993,0.8702905,0.00003845601],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1886618,0.01980525,0.005225134,0.001199801,0.001226389,0.0003771846,0.00383395,0.001527827,0.7781426],"genre_scores_gemma":[0.7442628,0.005976995,0.006198068,0.001699005,0.0004500276,0.0001867607,0.002487708,0.000136469,0.2386021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02900438,"threshold_uncertainty_score":0.07976556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05773675864189132,"score_gpt":0.2717919911481784,"score_spread":0.2140552325062871,"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."}}